106 Feature Engineering Jobs

As a Software/Cloud Engineer at our organization, you will play a crucial role in applying AI to real-world problems by designing, developing, and maintaining AI-driven solutions integrated with Oracle SaaS applications across various industries. Your understanding of the strategic value of data and AI in enhancing business operations will be essential in this role. Working hands-on with Oracle Cloud products, you will develop and showcase custom demonstrations that leverage Oracle's Generative AI, Vision, Language, and other OCI AI services. Leading proof-of-concept projects to meet customer business needs will also be a key responsibility. Your responsibilities will include designing, developing, and implementing scalable AI-driven applications and features, collaborating with various stakeholders to understand specific business needs, creating compelling AI-infused demonstrations of Fusion applications, integrating diverse systems using REST APIs, handling data preparation and feature engineering, and serving as an AI subject matter expert during customer engagements and workshops. To be successful in this role, you should have at least a few years of dedicated experience in AI/ML applications development or a related field. Proficiency in core AI, Machine Learning, and Deep Learning concepts, along with strong software development skills, especially in Python, is required. Experience with relational databases, SQL, and familiarity with Oracle Fusion Cloud Applications and Oracle AI Studio will be advantageous. Additionally, the ability to learn and adapt to evolving AI technologies and Oracle product enhancements is crucial. Key qualifications include good communication skills in English, the ability to work well in a team, strong organizational and planning skills, aptitude for learning new technologies quickly, analytical skills, ability to explore different alternatives to resolve technical challenges, self-motivation, and a bachelor's degree in computer science or equivalent technical experience. At Oracle, we offer a supportive environment focused on continuous learning, ample opportunities for training on new products, a challenging work environment with possibilities for interaction with colleagues, customers, and partners, and excellent career development opportunities along with competitive salary and benefits. Join us at Oracle, a world leader in cloud solutions, where innovation thrives and inclusivity is celebrated. We are committed to fostering an inclusive workforce, promoting opportunities for all, and supporting our employees with flexible benefits and a work-life balance. If you require any accessibility assistance during the employment process, please reach out to us.,

You will be responsible for assisting in the development and implementation of machine learning models and algorithms. Your role will involve writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. Additionally, you will work on datasets including data cleaning, preprocessing, feature engineering, and visualization. Collaboration with senior data scientists and developers to build scalable ML solutions is a key aspect of this role. You will also be required to conduct literature reviews and stay updated on the latest ML/AI research to contribute effectively to the team. Furthermore, your responsibilities will include contributing to model deployment and integration with APIs or web applications, with a basic knowledge being sufficient for this aspect of the role.,

Description We are seeking a skilled Machine Learning Engineer to join our team in India. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development. You will be responsible for developing and implementing machine learning solutions that drive business value. Responsibilities Design and implement machine learning models to solve complex business problems. Collaborate with data scientists and software engineers to integrate machine learning algorithms into applications. Conduct data analysis and preprocessing to prepare datasets for training and testing. Evaluate model performance and optimize algorithms for better accuracy and efficiency. Stay updated with the latest trends in machine learning and artificial intelligence. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. 3-9 years of experience in machine learning, data analysis, or a related field. Strong programming skills in Python, Java, or R. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in SQL and database management systems. Familiarity with data visualization tools like Tableau or Matplotlib. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models.

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.,

The metrics insights and analytics team at LTIMindtree is looking for a talented individual to join them in building dashboards and analytical solutions using AI ML based on business requirements. Your role will involve providing predictive and prescriptive analytics based on various delivery execution parameters, as well as offering actionable insights to users. You will be responsible for automating processes using new-age machine learning algorithms. Key Responsibilities: - Conceptualize, maintain, and automate dashboards as per the requirements. - Automation of existing processes to enhance productivity and time to market. - Enable decision making and action plan identification through metrics analytics. - Conduct training sessions and presentations. - Collaborate with various stakeholders to understand business problems and provide solutions. - Introduce new age solutions and techniques into the way of working. Skills Required: - Minimum 2-5 years of experience with power BI dashboards/TABLEAU and python. - Minimum 2-5 years of experience in AI/ML development. - Strong analytical skills with a focus on solutioning and problem-solving, along with an inclination towards numbers. - Experience working with Text analytics and NLP. - Proficiency in data cleansing, pre-processing data, and exploratory data analysis. - Knowledge of Azure ADF, Excel MACRO, and RPA will be advantageous. - Ability to perform feature engineering, normalize data, and build correlation maps. - Proficient in SQL. - Hands-on experience in model operationalization and pipeline management. - Capability to work effectively with global teams. - Good presentation and training skills. About LTIMindtree: LTIMindtree is a global technology consulting and digital solutions company that helps enterprises across industries to reimagine business models, accelerate innovation, and maximize growth through digital technologies. With a team of nearly 90,000 professionals in over 30 countries, LTIMindtree combines domain and technology expertise to drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Visit www.ltimindtree.com for more information.,

Job Description: We are looking for a highly skilled AI/ML Architect who possesses a strong background in Data Engineering and a demonstrated ability to utilize Design Thinking principles in addressing complex business issues. As the ideal candidate, you will have a pivotal role in shaping comprehensive AI/ML solutions, spanning from data architecture to model deployment. Your focus will be on ensuring that the design is user-centric, scalable, and in alignment with the business objectives. Key Responsibilities: - Take the lead in architecting and designing AI/ML solutions across various business domains. - Collaborate closely with stakeholders to identify use cases and transform them into scalable, production-ready ML architectures. - Employ design thinking methodologies to foster innovative and user-centric solution designs. - Design data pipelines and feature engineering processes for both structured and unstructured data. - Oversee the entire ML lifecycle, encompassing data preprocessing, model training, evaluation, deployment, and monitoring. - Uphold best practices in MLOps, which includes CI/CD for ML, model governance, and strategies for retraining. - Work collaboratively with data scientists, engineers, and product teams to ensure that the architecture aligns with business goals. - Provide mentorship and guidance to engineering and data science teams regarding solution design, performance optimization, and system integration. Experience: 10 to 15 years Job Reference Number: 13029,

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

We are looking for a highly skilled and experienced Senior Python & ML Engineer with expertise in PySpark, machine learning, and large language models (LLMs). You will play a key role in designing, developing, and implementing scalable data pipelines, machine learning models, and LLM-powered applications. In this role, you will need to have a solid understanding of Python's ecosystem, distributed computing using PySpark, and practical experience in AI optimization. Your responsibilities will include designing and maintaining robust data pipelines with PySpark, optimizing PySpark jobs for efficiency on large datasets, and ensuring data integrity throughout the pipeline. You will also be involved in developing, training, and deploying machine learning models using key ML libraries such as scikit-learn, TensorFlow, and PyTorch. Tasks will include feature engineering, model selection, hyperparameter tuning, and integrating ML models into production systems for scalability and reliability. Additionally, you will research, experiment with, and integrate state-of-the-art Large Language Models (LLMs) into applications. This will involve developing solutions that leverage LLMs for tasks like natural language understanding, text generation, summarization, and question answering. You will also fine-tune pre-trained LLMs for specific business needs and datasets, and explore techniques for prompt engineering, RAG (Retrieval Augmented Generation), and LLM evaluation. Collaboration is key in this role, as you will work closely with data scientists, engineers, and product managers to understand requirements and translate them into technical solutions. You will mentor junior team members, contribute to best practices for code quality, testing, and deployment, and stay updated on the latest advancements in Python, PySpark, ML, and LLMs. Furthermore, you will be responsible for deploying, monitoring, and maintaining models and applications in production environments using MLOps principles. Troubleshooting and resolving issues related to data pipelines, ML models, and LLM applications will also be part of your responsibilities. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python programming, PySpark, machine learning, and LLMs is essential. Experience with cloud platforms like AWS, Azure, or GCP is preferred, along with strong problem-solving, analytical, communication, and teamwork skills. Nice-to-have skills include familiarity with R and Shiny, streaming data technologies, containerization technologies, MLOps tools, graph databases, and contributions to open-source projects.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector areas for ZS, Beyond Healthcare engagement, comprising clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. The BHCA India team currently has a presence across New Delhi, Pune, and Bengaluru offices and is continuously expanding further at a great pace. The BHCA India team works with colleagues across clients and geographies to create and deliver real-world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. What You'll Do: - Build, Refine and Use ML Engineering platforms and components. - Scaling machine learning algorithms to work on massive datasets and strict SLAs. - Build and orchestrate model pipelines including feature engineering, inferencing, and continuous model training. - Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. - Collaborate with client-facing teams to understand business context at a high level and contribute to technical requirement gathering. - Implement basic features aligning with technical requirements. - Write production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errors. - Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. - Write unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy paths. - Use bug tracking, code review, version control, and other tools to organize and deliver work. - Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependencies. - Consistently contribute to researching & evaluating the latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions. What You'll Bring: - A master's or bachelor's degree in Computer Science or related field from a top university. - 4+ years hands-on experience in ML development. - Good understanding of the fundamentals of machine learning. - Strong programming expertise in Python, PySpark/Scala. - Expertise in crafting ML Models for high performance and scalability. - Experience in implementing feature engineering, inferencing pipelines, and real-time model predictions. - Experience in ML Ops to measure and track model performance, experience working with MLFlow. - Experience with Spark or other distributed computing frameworks. - Experience in ML platforms like Sage maker, Kubeflow. - Experience with pipeline orchestration tools such as Airflow. - Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. - Expertise in SQL, SQL DB's. - Knowledgeable of core CS concepts such as common data structures and algorithms. - Collaborate well with teams with different backgrounds/expertise/functions. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE.,

The role of a member in the New Analytics Team based in Hyderabad involves understanding business processes and data to model requirements for creating analytics solutions. You will be responsible for building predictive models and recommendation engines using cutting-edge machine learning techniques to enhance the efficiency and effectiveness of business processes. Your tasks will include churning and analyzing data to identify actionable insights and patterns for business use. Additionally, you will assist the Function Head in data preparation and modeling tasks as required. Collaboration with both business and IT teams is essential for understanding and collecting data. Your responsibilities will also include collecting, collating, cleaning, processing, and transforming large volumes of primarily tabular data comprising numerical, categorical, and some textual information. Applying data preparation techniques such as data filtering, joining, cleaning, missing value imputation, feature extraction, feature engineering, feature selection, dimensionality reduction, feature scaling, and variable transformation will be a part of your routine tasks. You will be expected to apply basic algorithms like linear regression, logistic regression, ANOVA, KNN, various clustering methods, SVM, Naive Bayes, decision trees, principal components, and association rule mining. Additionally, ensemble modeling algorithms like bagging (Random Forest), boosting (GBM, LGBM, XGBoost, CatBoost), time-series modeling, and other state-of-the-art algorithms will also be utilized as required. Your role will involve employing modeling concepts such as hyperparameter optimization, feature selection, stacking, blending, K-fold cross-validation, bias and variance, and combating overfitting. Building predictive models using state-of-the-art machine learning techniques for regression, classification, clustering, recommendation engines, etc., will be a key part of your responsibilities. Furthermore, you will analyze business data to uncover hidden patterns and insights, identify explanatory causes, and make strategic recommendations based on your findings. To excel in this role, you should hold a BE/B. Tech degree in any stream and possess strong expertise in Python libraries like Pandas and Scikit Learn. Proficiency in coding according to the outlined requirements is essential. Experience with Python editors such as PyCharm and/or Jupyter Notebooks is a must, along with the ability to organize code into modules, functions, and/or objects. Knowledge of using ChatGPT for machine learning will be advantageous, while familiarity with basic SQL for querying and Excel for data analysis is necessary. Understanding basics of statistics, including distributions, hypothesis testing, and sampling techniques, is a prerequisite. Experience with Kaggle and familiarity with R are desirable. Ideal candidates will have a minimum of 4 years of experience solving business problems through data analytics, data science, and modeling, with at least 2 years of full-time experience as a data scientist. They should have worked on at least 3 projects involving ML model building that were utilized in production by businesses or other clients. Your primary responsibilities will include spending 35% of your time on data preparation for modeling, 35% on building ML/AI models for various business requirements, 20% on performing custom analytics to provide actionable insights to the business, and 10% on assisting the Function Head in data preparation and modeling tasks as needed. Candidates without familiarity with deep learning algorithms, image processing and classification, and text modeling using NLP techniques will not be considered for selection. For applying to this position, please email your application to careers@isb.edu.,

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,

As a Machine Learning/AI Engineer, your primary role will involve designing, developing, and implementing machine learning models and AI solutions using Python. You will collaborate closely with various teams to comprehend business requirements, pinpoint opportunities for leveraging machine learning and AI technologies, and create solutions to tackle complex challenges. Working with extensive datasets, you will apply statistical analysis and machine learning techniques to extract valuable insights and construct scalable and robust algorithms. Your key responsibilities will encompass understanding business problems in collaboration with stakeholders, collecting and preprocessing large datasets from diverse sources, developing machine learning models and AI algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, or similar, engineering features from raw data to enhance model performance and interpretability, training, validating, and fine-tuning machine learning models utilizing appropriate evaluation metrics and validation techniques, deploying machine learning models into production environments with a focus on scalability, reliability, and performance, monitoring model performance in production, conducting periodic model retraining, and addressing any arising issues, documenting code, algorithms, and processes to facilitate knowledge sharing and maintainability, staying informed about the latest advancements in machine learning and AI research, and exploring innovative solutions to enhance existing systems. Ideally, you should possess over 3 years of demonstrated experience in developing and deploying machine learning models and AI solutions using Python, with a preference for familiarity with deep learning frameworks. Proficiency in Python programming and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy is expected. A strong grasp of statistical concepts, linear algebra, calculus, and probability theory is essential. Furthermore, effective problem-solving skills, excellent communication abilities to interact with cross-functional teams and stakeholders, meticulous attention to detail in data analysis and model development, and a willingness to adapt to new technologies and changing project requirements are highly valued. Exposure to NetSuite cloud ERP/Platform is considered an added advantage. This is a full-time position offering health insurance and leave encashment benefits. The work schedule involves fixed shifts from Monday to Friday. Applicants are required to have a minimum of 3 years of experience in deep learning and be located in Hyderabad, Telangana, with work being conducted in person.,

As a Data Scientist at Setu, you will have the opportunity to be a part of a team that is revolutionizing the fintech landscape. Setu believes in empowering every company to become a fintech company by providing them with cutting-edge APIs. The Data Science team at Setu is dedicated to understanding the vast population of India and creating solutions for various fintech sectors such as personal lending, collections, PFM, and BBPS. In this role, you will have the unique opportunity to delve deep into the business objectives and technical architecture of multiple companies, leading to a customer-centric approach that fosters innovation and delights customers. The learning potential in this role is immense, with the chance to explore, experiment, and build critical, scalable, and high-value use cases. At Setu, innovation is not just a goal; it's a way of life. The team is constantly pushing boundaries and introducing groundbreaking methods to drive business growth, enhance customer experiences, and streamline operational processes. From computer vision to natural language processing and Generative AI, each day presents new challenges and opportunities for breakthroughs. To excel in this role, you will need a minimum of 2 years of experience in Data Science and Machine Learning. Strong knowledge in statistics, tree-based techniques, machine learning, inference, hypothesis testing, and optimizations is essential. Proficiency in Python programming, building Data Pipelines, feature engineering, pandas, sci-kit-learn, SQL, and familiarity with TensorFlow/PyTorch are also required. Experience with deep learning techniques and understanding of DevOps/MLOps will be a bonus. Setu offers a dynamic and inclusive work environment where you will have the opportunity to work closely with the founding team who built and scaled public infrastructure such as UPI, GST, and Aadhaar. The company is dedicated to your growth and provides various benefits such as access to a fully stocked library, tickets to conferences, learning sessions, and development allowance. Additionally, Setu offers comprehensive health insurance, access to mental health counselors, and a beautiful office space designed to foster creativity and collaboration. If you are passionate about making a tangible difference in the fintech landscape, Setu offers the perfect platform to contribute to financial inclusion and improve millions of lives. Join us in our audacious mission and obsession with craftsmanship in code as we work together to build infrastructure that directly impacts the lives of individuals across India.,

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.,

Job Title: AI/ML Engineer Python Experience Required: 4 to 5 Years Location: Office Job Type: Full-Time Job Summary: We are looking for a talented and experienced AI/ML Engineer with strong proficiency in Python to join our team. The ideal candidate will have 45 years of hands-on experience in developing machine learning models, implementing AI solutions, and deploying them into production environments. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models using Python. Work with large datasets to perform data cleaning, preprocessing, and feature engineering . Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions. Evaluate and tune model performance using techniques like cross-validation , hyperparameter tuning , etc. Use libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy , and OpenCV . Deploy ML models using APIs, Docker, cloud platforms (AWS, GCP, Azure) , or MLOps pipelines. Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems. Document model workflows, performance metrics, and code for reproducibility and compliance. Required Skills & Qualifications: Bachelor&aposs/Masters degree in Computer Science, Artificial Intelligence, Data Science , or related field. 45 years of experience in AI/ML development using Python . Solid understanding of ML algorithms (classification, regression, clustering, NLP, computer vision). Experience with model deployment and productionizing AI solutions . Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform) is a plus. Strong analytical, problem-solving, and programming skills. Ability to interpret business needs and translate them into technical solutions. Preferred Tools & Frameworks: Python , scikit-learn , TensorFlow , Keras , PyTorch Pandas , NumPy , Matplotlib , Seaborn Flask/FastAPI for deploying models MLflow , Docker , Git , Jupyter Notebooks Exposure to NLP , Computer Vision , or Reinforcement Learning is a plus Certifications (Optional but Preferred): TensorFlow Developer Certificate AWS Certified Machine Learning Specialty Google Professional ML Engineer Microsoft Certified: Azure AI Engineer Associate Show more Show less

We are searching for a talented Document Extraction and Inference Engineer who possesses expertise in traditional machine learning algorithms and rule-based NLP techniques. The ideal candidate will have a solid background in document processing, structured data extraction, and inference modeling using classical ML approaches. Your primary responsibility will involve designing, implementing, and optimizing document extraction pipelines for various applications with a focus on ensuring accuracy and efficiency. Key Responsibilities - Developing and implementing document parsing and structured data extraction techniques. - Utilizing OCR (Optical Character Recognition) and pattern-based NLP for text extraction. - Building Foundational Models (NOT LLM's) to address inference problems. - Optimizing rule-based and statistical models for document classification and entity recognition. - Designing feature engineering strategies to enhance inference accuracy. - Working with structured and semi-structured data (PDFs, scanned documents, XML, JSON). - Implementing knowledge-based inference models for decision-making applications. - Collaborating with data engineers to construct scalable document processing pipelines. - Conducting error analysis and enhancing extraction accuracy through iterative refinements. - Keeping abreast of advancements in traditional NLP and document processing techniques. Required Qualifications - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - 3+ years of experience in document extraction and inference modeling. - At least 5+ years of overall experience. - Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). - Expertise in OCR technologies, regular expressions, and rule-based NLP. - Experience with SQL and database management for handling extracted data. - Knowledge of probabilistic models, optimization techniques, and statistical inference. - Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with graph-based document analysis and knowledge graphs. - Knowledge of time series analysis for document-based forecasting. - Exposure to reinforcement learning for adaptive document processing. - Understanding of the credit/loan processing domain. Location: Chennai, India.,

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,

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.,

Description We are looking for a Machine Learning Engineer with 3-9 years of experience to join our dynamic team in India. The ideal candidate will have a strong background in machine learning algorithms and data analysis, as well as the ability to work collaboratively in a fast-paced environment. Responsibilities Design and implement machine learning models and algorithms to solve real-world problems. Collaborate with data scientists and software engineers to build scalable data pipelines and machine learning systems. Analyze large sets of structured and unstructured data to derive actionable insights and improve model performance. Conduct experiments to validate model performance and ensure compliance with industry standards. Stay updated with the latest advancements in machine learning and artificial intelligence technologies. Skills and Qualifications Strong proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Solid understanding of statistical analysis and data mining techniques. Familiarity with SQL and NoSQL databases for data manipulation and storage. Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure for deploying machine learning solutions.

Phonologies, a leading provider of speech technology and voice bots in India, is seeking individuals to join the team and revolutionize the delivery of conversational AI and voice bots over the phone. Our innovative solutions are seamlessly integrated with top contact center providers, telephony systems, and CRM systems. We are on the lookout for dynamic and skilled specialists to contribute to the development of our cutting-edge customer interaction solutions. As part of our team, you will be involved in developing and implementing machine learning models for real-world applications. Ideal candidates should possess a minimum of 5 years of experience and demonstrate proficiency in Python, scikit-learn, as well as familiarity with tools such as MLFlow, Airflow, and Docker. You will collaborate with engineering and product teams to create and manage ML pipelines, monitor model performance, and uphold ethical and explainable AI practices. Essential skills for this role include strong capabilities in feature engineering, ownership of the model lifecycle, and effective communication. Please note that recent graduates will not be considered for this position. In our welcoming and professional work environment, your role will offer both challenges and opportunities for growth. The position will be based in Pune. If you believe your qualifications align with our requirements, we encourage you to submit your resume (in .pdf format) to Careers@Phonologies.com. Additionally, kindly include a brief introduction about yourself in the email. We are excited to learn more about you and potentially welcome you to our team!,

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.,