8072 Artificial Intelligence Jobs - Page 49

As a Clinical Data Operations Specialist at Novartis Healthcare Private Limited, your role is crucial in managing data operations for use cases and demand deliverables within the Clinical Pipeline team. You will be responsible for overseeing the timely and professional maintenance of the clinical data warehouse, ensuring cost-effectiveness, quality, and adherence to timelines. Your involvement will extend to developing engaging training modules for Clinical Data Mapper onboarding, utilizing AI-based technology to simplify processes and enhance training delivery. Your key responsibilities will include providing data mapping leadership across assigned use cases, managing task allocation for Clinical Data Mapper staff, resolving conflicts in data flows, and ensuring data compliance through quality checks and validation processes. You will play a pivotal role in maintaining consistency in data mappings, building data dictionaries, and conducting data quality assessments. Additionally, you will collaborate with Data Scientists, contribute to process improvements, and work closely with the Data Engineering team for advanced data mapping requirements. To excel in this role, you should have a minimum of 5 years of experience working with clinical data, strong knowledge of CDISC standards (SDTM/ADaM), and proficiency in Clinical Data Lifecycle. Your skills should encompass clinical data management, governance, integrity, operations, quality, and privacy, along with expertise in databases, project management, and SAS/SQL. Familiarity with Python and Artificial Intelligence would be beneficial. Cross-cultural experience, functional breadth, and agile way of working are also desired qualifications. Your performance will be measured based on achieving high levels of quality, timeliness, cost-efficiency, and customer satisfaction across data operations activities. Adherence to Novartis policies and guidelines, along with positive feedback from customers, partners, and projects, will be key indicators of success. Joining Novartis offers you the opportunity to be part of a community dedicated to making a difference in patients" lives through innovative science. By collaborating with a team of smart and passionate individuals, you can contribute to breakthroughs that positively impact healthcare. If you are ready to create a brighter future together, we invite you to explore career opportunities within our network. In this role, you will be based in Hyderabad, India, as part of the Biomedical Research division under the Innovative Medicines business unit. As a full-time employee, you will work in a regular shift without the requirement for shift work. Novartis is committed to providing accessibility and accommodation for individuals with disabilities during the recruitment process. If you require any accommodations, please contact us at [email protected] with details of your request and the job requisition number. Our goal is to build an inclusive work environment that represents the diversity of the patients and communities we serve.,

As a Risk Analyst at the World Bank Group, you will have the opportunity to contribute to the institution's mission of ending extreme poverty and promoting shared prosperity in developing countries. The Chief Risk Officer (CRO) Vice Presidency is responsible for institutional risk oversight, ensuring adherence to risk policies, and reporting to the Board and executive management. The Operational Risk Department within the CRO Vice Presidency focuses on managing operational risks, corporate insurance, business continuity, and enterprise risk management. Your role as a Risk Analyst will involve supporting the Operational Risk Department in various activities such as conducting research on operational risk, managing online content, enhancing communication strategies, developing training resources, and participating in technology solutions implementation. You will work closely with the Lead Risk Officer and be responsible for ensuring that reports and products adhere to communication and branding standards. To qualify for this position, you should have a Master's degree in a business or finance-related discipline, with a minimum of 5 years of practical experience in risk advisory or management consulting. You should possess a good understanding of Operational Risk Management (ORM) frameworks and processes, as well as experience in research, data analysis, and presentation of insights. Proficiency in managing online platforms, developing training materials, and using reporting tools such as Power BI is required. Exposure to Artificial Intelligence and Machine Learning solutions is highly desirable. As a successful candidate, you should demonstrate exceptional communication skills, both written and oral, and the ability to interact effectively with colleagues and senior management. You must exhibit a high level of motivation, integrity, and responsibility, with the capacity to work autonomously on projects. Flexibility to travel on short-term assignments and work outside normal office hours when required is essential. Joining the World Bank Group will not only provide you with a challenging and rewarding career but also comprehensive benefits, including retirement plans, medical insurance, life and disability coverage, and paid leave. You will be part of a global partnership dedicated to making a positive impact on the world's most pressing challenges. If you are ready to make a difference and further your career in operational risk management, this opportunity at the World Bank Group in Chennai, India, could be the next step in your professional journey. Apply now and be part of a team committed to creating a better future for all.,

You will be joining the School of Humanities & Social Sciences at IILM University, Greater Noida, in the role of a faculty member. We are currently looking for individuals to fill positions at the levels of Professor, Associate Professor, and Assistant Professor in various social science disciplines such as Photography/Videography, Film Making, Advertising, Artificial Intelligence, and Brand Management. As a potential candidate, you should meet the minimum qualifications set by the UGC and demonstrate a high level of excellence in both teaching and research. Experience in academic leadership and institution building would also be a valuable asset. We are searching for dedicated educators who possess a strong academic background, a passion for research, and a student-focused approach to teaching. If you are enthusiastic about contributing to academic excellence and nurturing the future professionals in your field, we welcome you to apply for this exciting opportunity. If you are interested in this position, please send your CV to chhavi.choudhary@iilm.edu.,

This is a full-time on-site role for a Software development with Project leadership & Agile Expertise. You will be responsible for the day-to-day management of projects, ensuring that timelines are met, budgets are adhered to, and communication with stakeholders is maintained. Qualifications: - 8+ years of experience in coding and development with a strong focus on project management. - Hands-on coding in PHP, JavaScript, Typescript, Nodejs, Java, Python, Laravel, MYSQL, NOSQL, MongoDB etc. - Ability to write, review, and troubleshoot effectively. - Strong experience in project planning, budgeting, execution, and resource management. - Proven ability to plan, execute, control, and ensure the closure of projects. - Skilled in creating and maintaining comprehensive project documentation. - Hands-on experience with various design patterns such as MVP, MVC, and MVVM. - Extensively involved in analysis, design, and coding, along with documentation for software projects. - Excellent communication skills to effectively communicate along with multi-project management. - Skilled in Artificial Intelligence & Machine Learning related innovations. Job Type: Full-time Location Type: In-person Application Question(s): - Which languages have you actively worked on - Which frameworks have you actively worked on Experience: Total work experience of 7 years (Preferred) Location: Pitampura, Delhi, Delhi (Required) Work Location: In person,

About Us : We are a forward-thinking startup developing an AI-driven construction estimating tool designed to revolutionize how contractors and builders calculate materials and costs. By leveraging machine learning to interpret construction drawings, we enable accurate identification of square footage, linear footage, and objects associated with trades like flooring, railing, windows, doors, etc. Our platform integrates real-time data from multiple sources to provide precise estimates and forecasting. Were looking for a talented Senior AI/ML Engineer who can lead the development of machine learning models, create real-time applications with modern databases, and architect complex systems for inventory forecasting and estimation. Key Responsibilities : AI/ML Model Development for Construction Estimation : Develop machine learning models to analyze construction drawings and accurately identify square footage, linear footage, and objects (e.g., flooring, railings, windows, doors) for different trades. Work with computer vision techniques (e.g., image segmentation, object detection) to automate recognition of components from construction plans. Enhance existing models and continually improve accuracy using advanced deep learning techniques. API Integration : Design and develop APIs to feed processed construction data into real-time systems for use by project managers and construction professionals. Build robust data pipelines to integrate machine learning insights into external systems for estimating and project tracking. Real-time Application Development : Develop a ChatGPT-powered app that integrates with PostgreSQL and MongoDB databases, delivering real-time insights and user-friendly interactions. Design the system to pull real-time data from multiple data sources, ensuring scalability and performance. System Architecture : Architect and manage complex machine learning pipelines that integrate with front-end and back-end systems for seamless data flow. Collaborate with software engineers to design scalable, cloud-based architectures (using AWS, Azure, or GCP) for deploying AI models and handling large volumes of construction data. Inventory Forecasting : Write code to forecast inventory needs for construction projects, considering historical data, material usage, and project timelines. Build predictive models that offer real-time updates on material availability, allowing construction companies to optimize procurement and reduce waste. Database Management & Integration : Design and maintain robust databases (PostgreSQL, MongoDB) for storing construction project data, machine learning results, and user interactions. Ensure data security, performance, and scalability of the database systems. Collaboration & Leadership : Work cross-functionally with data scientists, software engineers, and product teams to deliver high-quality, scalable AI solutions. Provide leadership and technical mentorship to junior engineers, guiding them in AI best practices, system design, and coding standards. Qualifications : Experience : 5+ years of experience in AI/ML, with a focus on computer vision, natural language processing (NLP), and forecasting systems. Proven expertise in using AI/ML for interpreting architectural or construction plans, and automating recognition of key components like materials and trades. Experience integrating AI models into production systems with real-time data feeds. Technical Skills : Strong proficiency in machine learning frameworks (TensorFlow, PyTorch) and computer vision libraries (OpenCV, YOLO, etc.). Expertise in Python and experience building APIs using FastAPI, Flask, or Django. Proficiency with PostgreSQL and MongoDB for real-time database integration. Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) for deploying scalable AI models. Systems & Architecture : Experience architecting complex AI/ML systems, integrating data pipelines, and ensuring systems scale for production environments. Experience with real-time application development and chatbot/AI assistant development (e.g., ChatGPT integration). Soft Skills : Strong communication and problem-solving skills, with the ability to translate business needs into technical solutions. Able to work in a fast-paced, collaborative startup environment and lead technical initiatives. A passion for innovation and applying AI to solve real-world challenges. Bonus Skills : Knowledge of building information modeling (BIM) and its integration with AI/ML systems. Experience with reinforcement learning or real-time decision-making algorithms. Understanding of construction industry workflows and software tools used in estimating and project management. What We Offer : Opportunity to shape the future of AI in construction and estimating. A dynamic startup environment with the chance to lead impactful projects. Competitive salary, stock options, and flexible work arrangements.

As a passionate AI developer at Quale Infotech, you will be part of our AI team dedicated to creating cutting-edge enterprise AI tools. Your primary responsibility will involve harnessing machine learning, artificial intelligence, and big data technologies to develop intelligent analytics solutions that drive business insights and decision-making processes. Your role will include developing multi-agent AI workflows for autonomous decision-making and task execution, as well as facilitating agent-to-agent communication. You will also be responsible for integrating large language models (LLMs), APIs, environments, or agents to enhance execution and decision-making capabilities. Additionally, you will work on optimizing AI models for improved performance, safety, and cost-effectiveness. Monitoring AI behavior to ensure security, privacy, and ethical AI practices across all deployments will be a key aspect of your responsibilities. You will be involved in implementing RAG pipelines to enhance contextual retrieval and knowledge grounding. Collaboration with cross-functional teams to enhance existing features and develop new ones will also be part of your role. To excel in this position, you should hold a Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field. Strong proficiency in Python programming and knowledge of ML frameworks are essential requirements. Familiarity with Agentic frameworks such as LangChain, AutoGen, CrewAI, or similar frameworks, as well as LLM orchestration, will be beneficial. A problem-solving mindset is a critical attribute for success in this role. In addition to your technical skills, you will be expected to stay updated with the latest advancements in AI, ML, and data science techniques. Adhering to all quality controls and processes is imperative to ensure the successful development and deployment of AI solutions at Quale Infotech.,

Role: Generative AI Engineer (Contract) Experience: 2+ years in AI/ML development Notice Period - Immediate joiner / upto 30 days Location: Pune (Prefered Candidates From Pune location) Key Responsibilities: Design and deploy Generative AI models (LLMs, diffusion models) on Google Cloud Platform (GCP) using Vertex AI, BigQuery, Cloud Storage. Develop end-to-end AI solutions including data pipelines, APIs, and microservices. Work on prompt engineering to optimize AI model performance. Analyze datasets to uncover insights and optimize business outcomes. Collaborate with cross-functional teams for seamless AI integration. Must-Have Skills: Strong experience in Generative AI, LLMs, diffusion models. Hands-on with Google Cloud Platform (GCP), especially Vertex AI. Proficiency in Python, TensorFlow/PyTorch, Machine Learning/Deep Learning. Experience in Power BI for data visualization. Excellent problem-solving and collaboration skills. Good to Have: MLOps, Docker/Kubernetes, chatbot development experience.

The Role Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies. Addepar is building solutions to support our clients' alternatives investment strategies. We’re using AI to automate and streamline ingestion and analysis of alternatives investment data. We're hiring a Senior Software Engineer to design, implement and deliver these ground breaking software solutions. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience AI and ML in the application and transform their experience of alternatives operations. You will work closely with data scientists on document based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving really hard technical, critically important problems, come join us! What You’ll Do Design, build and iterate on web based applications for alternatives data professionals Build responsive UIs that enable PDF annotations, tagging and navigation Implement and maintain engineering solutions by writing well-designed, testable code Lead individual project priorities, achievements, and software releases Collaborate with machine learning engineers to bring ML models into the backend stack of the application in Python or other languages Collaborate with product managers and client teams on product requirements iterations, design feasibility and user feedback Document software functionality, system design, and project plans; this includes clean, readable code with comments Learn and promote engineering standard methodologies and principles Who You Are Minimum 8+ years of experience in software engineering Proficient with Python OR Java as programming languages Experience with streaming data platforms and event driven architecture Ability to write software to process, aggregate, and compute on top of large amounts of data in an efficient way Ideally someone who is working in AI/ML recently and previously has had a strong backend engineering background Engage with all levels of collaborators on a technical level A strong ownership mentality and strive to take on the most important problems You have experience in building cloud native applications and familiarity with at-least one public cloud technology such as AWS/GCP/Azure. AWS experience is a strong plus Knowledge of front end development is a plus Important Note - This role requires working from our Pune office 3 days a week (Hybrid work model)

-- NO ONLINE INTERVIEW -- We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Implement scalable and reliable machine learning infrastructure and productionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

Hiring Data Engineer with expertise in PySpark, Apache Spark, and Databricks, along with exp in analytics, data modeling, and Generative AI/Agentic AI solutions Exp in PySpark, Apache Spark, and Databricks for batch & streaming data pipelines. Required Candidate profile This role is ideal for someone who thrives at the intersection of data engineering, AI systems, and business insights Exposure to Generative AI, RAG, embedding models, and vector databases

Strong coding ability in Python & proficiency in SQL Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate) Practical exp with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows Building and optimizing RAG pipelines. Required Candidate profile We are looking for a highly capable AI Engineer to contribute to the design and delivery of intelligent, scalable AI solutions Familiarity with LangChain, LlamaIndex, or similar orchestration tools.

Job Summary The AI Quality Assurance Manager (RISE) is responsible for overseeing QA processes within the Data & AI team, ensuring that all AI product deliveries meet the highest standards of quality and performance. This role involves developing and implementing quality assurance strategies, managing a team of QA RISE professionals, and collaborating with cross-functional teams to enhance product quality. The Quality Assurance Manager (RISE) plays a critical role in identifying areas for improvement, driving continuous improvement initiatives, and ensuring compliance with industry standards and best practices. Additionally, this position establishes quarterly compliance testing for AI governance and coordinates with product teams to ensure testing deliverables are met. Qualifications, Knowledge, Skills, and Abilities Education: Bachelors or Masters degree in computer science, Information Systems or equivalent field required Experience: Five (5) or more years of experience in quality assurance, required. Experience working in a software development environment, required. Familiarity with Artificial Intelligence or working with application built using AI tools required Familiarity with directly testing or verifying the output of AI tools would be preferred Working experience with test planning, test case and test script creation, test execution and test defect reporting required. Advanced experience with software development methodologies, required. Prior experience in performance testing using any of the tools would be preferred. Experience either establishing or working within an automated testing suite would also be preferred Broad business experience within a professional services environment, preferred Software: Experience with one (1) or more of the following, preferred: Microsoft Teams, Word, Excel, Outlook, PowerPoint, OneNote, OneDrive, PowerBI, Visio Azure DevOps ServiceNow Language(s): N/A Other Knowledge, Skills, & Abilities: Strong analytical and problem-solving skills to identify and resolve defects effectively Excellent attention to detail to ensure thorough testing and accurate documentation Strong communication skills to convey complex information clearly to technical and non-technical stakeholders Ability to work collaboratively within a team environment and across departments Proficiency in using test management and defect tracking tools Familiarity with software development lifecycle (SDLC) and agile methodologies Ability to adapt to changing priorities and manage multiple tasks simultaneously Strong organizational skills to manage test plans, cases, and documentation efficiently Ability to learn and apply new testing tools and technologies quickly Understanding of AI systems and Responsible AI policies, preferred Ability to conduct root cause analysis and provide actionable insights for process improvement Strong time management skills to meet deadlines and deliver high-quality results

Develop and implement conversational AI solutions that meet client needs. Experience with chatbot platforms such as AI, Chatbot, API Integrations, Framework & Architects,Kore AI. Knowledge Python, Java, or JavaScript. Contact- 9311035462 (Aman)

About Reap Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services?from issuing Visa cards to facilitating cross-border payments Backed by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance Role Overview As part of a rapidly growing data team, we are looking to hire Senior Analytics Engineers to contribute to our dynamic and innovative projects We are looking for someone who is ready for the challenge, is solutions-oriented, and thinks out of the box The ideal candidate should be passionate about using data to drive impact across the organization and a collaborative mindset to work effectively within cross-functional teams If you are enthusiastic about pushing boundaries, solving complex problems, and making a significant impact, we encourage you to apply and be part of our exciting journey in shaping the future of our products Responsibilities Design and development: Design, develop, deploy and maintain analytics solutions that allow business teams to make data-driven decisions Evaluate, adopt, integrate and build on analytics tools Collaboration: Collaborate with cross-functional teams to gather and analyze business requirements, development and delivery of analytical models and reporting solutions Specialize in different business domains, building deep expertise and anticipating the needs of business verticals Lead and enable business teams to perform self-service analytics Continuous learning: Recommend and evaluate technologies to introduce new analytics capabilities Observability and Support: Perform data analysis and troubleshooting to identify root causes of issues and implement solutions To Be Successful You Will Need To Have Experience: 5+ year work experience in data and analytics Technical proficiency: Experience with data visualization tools such as Power BI, Tableau, or Looker Problem solving: Strong analytical and problem-solving skills, with a keen attention to detail and a passion for troubleshooting and debugging Communication: Excellent communication and collaboration skills, with the ability to work effectively in a team environment Experience in credit cards, payments, or fintech industries is a plus Exposure to AI, machine learning, and predictive analytics is highly desirable After submitting your application, please check your inbox for a confirmation email If you don't see it, kindly check your spam or junk folder and adjust your settings to ensure future communication reaches your inbox You can follow the steps here

What we are looking for : Apart from your love for data and ability to code even while sleeping you would need the following. Minimum of 3-8 years of experience in designing and delivery of data science solutions. You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. What you will be doing : Understand business problems and translate business requirements into technical requirements. Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. Gather requirements and communicate findings in the form of a meaningful story with the stakeholders Build & implement data models using predictive modelling techniques . Interact with clients and provide support for queries and delivery adoption. Lead and mentor data analysts.

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

Director of Content Engineering - Generative AI Skillsoft seeks an innovative and technically proficient Director of Content Engineering to spearhead our AI-driven content production and initiatives. The ideal candidate will have deep expertise in generative AI technologies, robust engineering experience, and proven leadership in managing technical teams. Role Overview: As Director of Content Engineering, you'll lead a dynamic team of technical content creators (25+ members) to leverage cutting-edge generative AI tools in creating compelling, high-quality learning content. Your role is critical to ensuring our content development processes are efficient, scalable, and aligned with our learning objectives and product roadmap. Key Responsibilities: Develop and execute an advanced generative AI-driven content production strategy. Evaluate, scope, and define emerging generative AI tooling to enhance content quality, scalability, and efficiency. Maintain active knowledge of generative AI trends, integrating innovative solutions to continuously elevate content production standards. Provide technical leadership, mentorship, and management for a team of content engineering professionals. Oversee the AI-powered content production lifecycle, ensuring quality from ideation to delivery. Collaborate closely with Subject Matter Experts (SMEs) for content accuracy and effectiveness. Drive process improvements using AI-driven tools and analytics to streamline production workflows. Partner with cross-functional teams, including product management, marketing, and sales, ensuring content strategies support broader organizational goals. Manage project resources effectively, leveraging AI to optimize budget tracking and resource allocation. Qualifications: 15+ years in engineering, delivering complex, large-scale software solutions. Minimum 5 years of technical project management experience, ideally within a learning context. Extensive knowledge of generative AI tools, techniques, and their applications in content production (e.g., interactive media, video, eBooks). Proven capability to manage multiple concurrent projects with exceptional prioritization skills. Strong understanding of instructional design, LMS platforms, and content delivery methodologies. Expertise in project management software (Jira, Asana) and analytical tools (Excel, Power BI). Bachelor’s degree in Engineering (required), MBA or Masters preferred. Formal Project Management certification advantageous. Bonus Qualifications: Direct experience in corporate learning and development industry. Familiarity with digital accessibility standards and guidelines. Proven experience managing substantial budgets and diverse resources. Join Skillsoft and lead the way in crafting innovative, AI-powered learning experiences that transform millions of learners worldwide. If you’re passionate about generative AI and ready to drive content engineering excellence, we encourage you to apply!

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.

We are looking for 8+years experienced candidates for this role. Job Description A minimum of 8 years of professional experience, with at least 6 years in a data science role. Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and hands on experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Responsibilities include: Lead a high performance team, guide and mentor them on the latest technology landscape, patterns and design standards and prepare them to take on new roles and responsibilities. Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Utilize expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Design, implement, and optimize data pipelines for model training and deployment. Experience with model serving frameworks (e.g., TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for model serving and integration with other systems. Collaborate with cross-functional teams to define project requirements, develop solutions, and communicate results. Mentor junior data scientists, providing guidance on technical skills and project execution. Stay up-to-date with the latest advancements in data science and machine learning, particularly in generative AI, and evaluate their potential applications. Communicate complex technical concepts and analytical findings to both technical and non-technical audiences. Serves as a primary point of contact for client managers and liaises frequently with internal stakeholders to gather data or inputs needed for project work Certifications : Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Primary Skills : Python Data Science concepts Pandas, NumPy, Matplotlib Artificial Intelligence Statistical Modeling Machine Learning, Natural Language Processing (NLP), Deep Learning Model Serving Frameworks (e.g., TensorFlow Serving, TorchServe) MLOps(e.g; MLflow, Tensorboard, Kubeflow etc) Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems (Atleast 2) Generative AI, RAG, Finetuning(LoRa, QLoRa) Proficent in any of Cloud Computing Platforms (e.g., AWS, Azure, GCP) Secondary Skills : Expertise in designing scalable and efficient model architectures is crucial for developing robust AI solutions. Ability to assess and forecast the financial requirements of data science projects ensures alignment with budgetary constraints and organizational goals. Strong communication skills are vital for conveying complex technical concepts to both technical and non-technical stakeholders.