327 Scikitlearn Jobs - Page 9

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. Were looking for experienced machine learning professionals to help us revolutionize how we manufacture Apples amazing products. Put your experience to work in this highly visible role. Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apples supply chain and manufacturing processes. As a part of this role, you would work with the team to build end-to-end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). - Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related field. Preferred Qualifications - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. - Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. - Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. - Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. - Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. - Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. - Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. - Proven experience in leading and mentoring teams is a plus. Submit CV,

The QA Engineer AI/ML will play a crucial role in evaluating and conducting manual functional, regression, and integrated testing on new or modified software programs. Your primary responsibility will be to ensure that these programs meet the specified requirements and adhere to established guidelines. By writing, revising, and validating test plans and procedures, you will contribute to the identification of defects, environmental needs, and product feature evaluations. As a QA Engineer AI/ML, you will be tasked with maintaining a comprehensive test library, executing test scenarios to ensure coverage of requirements and regression, and conducting both positive and negative testing. Your involvement in product design reviews will provide valuable insights into functional requirements, product designs, usability considerations, and testing implications. Additionally, you will be responsible for identifying, reporting, and tracking product defects, as well as addressing the need for additional product functionality in a clear and concise manner. In this role, you will also be required to prepare and review technical documentation for accuracy, completeness, and overall quality. Providing task estimations and ensuring timely delivery against specified schedules will be essential aspects of your responsibilities. Furthermore, your availability outside of standard business hours may be necessary as part of a rotational on-call schedule. To qualify for this position, you must hold a Bachelor's degree in computer science, engineering, or a related field, or possess equivalent relevant experience. You should have 2-4 years of experience in QA Manual and demonstrate a strong understanding of technology, software quality assurance standards, and practices. Your exceptional written and verbal communication skills, along with active listening abilities, will enable you to interact effectively with a diverse range of technical and non-technical personnel. A proficiency in identifying issues logically, troubleshooting, problem-solving, and predicting defects will be crucial for success in this role. You should be adept at interpreting business requirements, creating test specifications, test plans, and test scenarios. Additionally, a balance between individual and team efforts in collaborative processes while meeting deadlines will be necessary. Experience and skills in AI/ML fundamentals, data quality assessment, model performance testing, AI/ML testing tools familiarity, bias and fairness testing, and programming skills for AI/ML testing are highly desirable. Proficiency in Python and SQL for creating test scripts, data manipulation, and working with ML libraries will be beneficial. Familiarity with MLOps, model lifecycle testing, structured delivery processes, Agile methods, and various platforms and databases will also be advantageous. Enjoy a competitive compensation package and comprehensive benefits as part of this role at Netsmart, an Equal Opportunity Employer dedicated to diversity and inclusivity.,

As an AI Engineer at YASH Technologies, you will have the opportunity to utilize your 24 years of experience in the field to make a significant impact. You will be a part of a team that is dedicated to leveraging cutting-edge technologies to drive business transformation and deliver exceptional stakeholder experiences. Your primary responsibility will be to build and deploy machine learning models for classification, regression, and clustering tasks. You will also apply foundational GenAI concepts such as embeddings, summarization, and RAG, using tools like LangChain and vector databases. Additionally, you will be expected to prepare documentation and interpret results to drive actionable insights. To excel in this role, you must have strong hands-on experience in Python, Scikit-learn, and Pandas. Knowledge of model evaluation, feature engineering, and model tuning is essential, along with exposure to LangChain and vector databases. Basic familiarity with FastAPI or Flask is also preferred. At YASH, we believe in empowering our employees to shape their careers while working in a collaborative and inclusive environment. We provide career-oriented skilling models and opportunities for continuous learning, unlearning, and relearning at a rapid pace. Our Hyperlearning workplace is guided by principles such as flexible work arrangements, open collaboration, support for business goals, and a stable employment environment with an ethical corporate culture. Join us at YASH Technologies and be a part of a team that is driving positive changes in an increasingly virtual world.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

The Data Science Analyst role at Citi within the GWFO team is a developing professional position that involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The main responsibilities include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, the individual in this role will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. As a Data Science Analyst at Citi, you will be expected to: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends and provide insights to enhance business decision-making capabilities in various areas. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and effectively communicate findings to business partners and senior leaders. - Continuously explore and evaluate new data sources, tools, and capabilities, focusing on cutting-edge AI technologies to improve processes and strategies. - Collaborate closely with internal and external business partners to build, implement, track, and enhance decision strategies. Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Other skills required include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. Education: - Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred. Working at Citi offers more than just a job - it means joining a global family of dedicated individuals where you can grow your career, contribute to your community, and make a real impact.,

We are seeking a skilled and forward-thinking Lead Software Engineer specializing in Machine Learning with over 10 years of experience to spearhead the conceptualization, development, and implementation of cutting-edge machine learning solutions. This pivotal role necessitates robust leadership qualities, profound technical acumen, and a demonstrated track record in steering teams towards resolving intricate, large-scale challenges utilizing state-of-the-art ML technologies. In this leadership capacity, you will be responsible for mentoring teams, formulating technical roadmaps, and fostering collaboration across various departments to synchronize machine learning endeavors with business objectives. Your responsibilities will include defining and orchestrating the strategy and trajectory for ML systems and applications, as well as architecting and supervising the construction of adaptable machine learning systems and infrastructure. You will drive the creation and execution of sophisticated ML models and algorithms to tackle complex business issues, collaborate with multifaceted teams to discern ML use cases and prerequisites, and provide guidance to junior and mid-level engineers on optimal practices for ML development and deployment. It will also be imperative to oversee the performance enhancement of machine learning systems in operational settings, ensure adherence to industry standards and best practices in model development, data governance, and MLOps, and spearhead research endeavors to explore emerging ML methodologies and seamlessly integrate them into the organization's solutions. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a Ph.D. being an advantageous asset. Additionally, you should possess a minimum of 10 years of software engineering experience, with at least 5 years dedicated to machine learning, and exhibit proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. A strong grasp of designing and constructing large-scale, distributed ML systems, advanced knowledge of data engineering tools and frameworks such as Spark, Hadoop, or Kafka, hands-on experience with cloud platforms (AWS, GCP, Azure) for ML workloads, and expertise in deploying and managing ML models in production environments using MLOps tools like MLflow or Kubeflow are essential technical skills that you should bring to the table. Moreover, a deep understanding of algorithms, data structures, system design, containerization (Docker), orchestration (Kubernetes), and exceptional problem-solving capabilities are highly valued attributes for this role. Your soft skills should include robust leadership and decision-making prowess, exceptional problem-solving and analytical thinking, excellent communication aptitude to convey technical concepts to diverse audiences, and the ability to cultivate collaboration and drive innovation across teams. Preferred qualifications include a Master's degree in Computer Science, Information Technology, or a related field, familiarity with advanced techniques like generative AI, reinforcement learning, or federated learning, experience in constructing and managing real-time data processing pipelines, knowledge of data security and privacy best practices, and a track record of publications or patents in the domain of machine learning or artificial intelligence. Key Performance Indicators for this role encompass the successful delivery of scalable, high-impact ML solutions in alignment with business objectives, effective mentorship and upskilling of team members, continuous enhancement of ML system performance and reliability, and driving innovation and adoption of emerging ML techniques to sustain a competitive advantage.,

You are seeking a Senior AI/ML Architect with a cumulative experience of 10-12 years in software development and/or data analysis/machine learning to join the team in Ahmedabad. This is a full-time, onsite position suitable for individuals enthusiastic about designing and expanding production and enterprise AI/ML systems. Your responsibilities will include designing scalable AI/ML pipelines for training, inference, and deployment, leading MLOps architecture encompassing model versioning, monitoring, and CI/CD, translating business challenges into robust ML solutions, collaborating with cross-functional teams such as Product, Data, and Engineering, implementing responsible AI frameworks focusing on explainability and fairness, selecting and overseeing the AI/ML tech stack spanning cloud services, models, and tools, engaging in brainstorming sessions, and engaging in technical solutioning alongside the business and enterprise architect team, as well as managing client stakeholders effectively. Your expertise should cover Python, TensorFlow/PyTorch/Scikit-learn, MLflow, Airflow, Kubernetes, Docker, working with AWS/GCP/Azure for ML workflows, designing Data lake/Databricks Feature store, tackling model monitoring and drift, and possessing experience in NLP, CV, or forecasting models. Furthermore, it would be advantageous if you have exposure to LLMs, GPT, RAG, LangChain, expertise in GenAI or enterprise AI/ML implementation, and knowledge of vector databases and hybrid architectures. This is a full-time position with the flexibility of working day, morning, night, or US shifts, requiring your physical presence at the work location.,

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. Collaboration with data scientists and product teams will be key in understanding business requirements and translating them into effective ML solutions. You will conduct advanced data analysis, create visualization dashboards for insights, and maintain detailed documentation of models, experiments, and workflows. Moreover, mentoring junior team members on best practices and technical skills will be part of your responsibilities to foster growth within the team. In terms of required skills, you must have at least 3 years of experience in machine learning development, with a focus on the end-to-end model lifecycle. Proficiency in Python using Pandas, NumPy, and Scikit-learn for advanced data handling and feature engineering is crucial. Strong hands-on expertise in TensorFlow or PyTorch for deep learning model development is also a must-have. Desirable skills include experience with MLOps tools like MLflow or Kubeflow for model management and deployment, familiarity with big data frameworks such as Spark or Dask, and exposure to cloud ML services like AWS SageMaker or GCP AI Platform. Additionally, working knowledge of Weights & Biases and DVC for experiment tracking and versioning, as well as experience with Ray or BentoML for distributed training and model serving, will be considered advantageous. Join our team and contribute to cutting-edge machine learning projects while continuously improving your skills and expertise in a collaborative and innovative environment.,

As an AI Developer at Compusoft Advisors India Pvt. Ltd., you will play a crucial role in developing and implementing AI solutions utilizing Azure AI and Azure Open AI platforms. Your responsibilities will involve designing and deploying machine learning models, implementing natural language processing algorithms, and collaborating with cross-functional teams to discover business opportunities and deliver tailored solutions. To excel in this role, you should have at least 3 years of hands-on experience in developing AI solutions using Azure AI and Azure Open AI platforms. Proficiency in programming languages such as Python, C#, dot net, or others is essential. A solid understanding of AI concepts, techniques, and frameworks including machine learning, deep learning, natural language processing, computer vision, and conversational AI is required. Furthermore, familiarity with AI tools and frameworks like TensorFlow, PyTorch, Keras, Scikit-learn, NLTK, SpaCy, OpenCV, etc., is crucial for success in this position. Experience in utilizing cloud services and technologies such as Azure DevOps, Azure Data Factory, Azure SQL Database, Azure Cosmos DB, Azure Storage, etc., is highly advantageous. Excellent communication, problem-solving, and analytical skills are necessary attributes for this role. A strong passion for AI, coupled with a willingness to acquire new skills and stay updated on emerging technologies, is highly valued. A Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field is a fundamental requirement to be considered for this position.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

As a Compliance Technical Consultant at Cinque Technologies, you will be responsible for reviewing, suggesting, and leading the development of new features and functionalities in the existing AML/CFT products. Your primary focus will be to enhance the scalability of these products across various domains such as Banking, Insurance, Travel, Retail, Exchange, etc., in different geographies. By studying market demands and trends, you will play a vital role in facilitating the team and driving the company's expansion. Your performance will be evaluated based on the acquisition of new prospective clients from multiple domains and geographies, as well as finalizing deals with the company. To excel in this role, you should possess a degree in machine learning or related technical disciplines, or have equivalent industry experience. Deep expertise and practical hands-on skills in multiple machine learning techniques such as Natural Language Processing, Computer Vision, Reinforcement Learning, or Predictive Analytics are essential. Additionally, you should have in-depth knowledge and practical experience in designing enterprise-grade ML platforms that meet stringent security, compliance, performance/scalability, and operational requirements. Your role will also require practical hands-on coding skills in languages such as Python, SQL, and Java for developing advanced machine learning algorithms or key components of enterprise-grade machine learning platforms. With at least 5 years of total related industry experience, including 5+ years in leading large-scale machine learning engineering or data science initiatives in a large enterprise setting, you should be well-equipped to drive innovation in this field. Participation and contribution at industry AI/ML conferences, practical hands-on experience with industry-leading ML services/products like AWS AI/ML services, and familiarity with ML frameworks such as TensorFlow, PyTorch, MXNet, Keras, and Scikit-Learn are highly desirable. Experience with public clouds, excellent verbal and written communication skills, and the ability to effectively collaborate with senior executives and navigate complex organizational structures are also key requirements for this role. This is a full-time position with benefits including health insurance, paid sick time, and a provident fund. As part of the application process, you will be asked about your current salary, expected salary, and experience in the Fintech or Finance domain. A minimum of 3 years of experience in AI/ML is required for this role.,

As a Machine Learning and AI Specialist, you will be responsible for architecting and implementing cutting-edge solutions in the fields of Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs). Your role will involve integrating these models into application ecosystems, collaborating with data engineering teams to develop robust pipelines, and conducting AI/ML research to ensure that our solutions stay ahead of industry trends. In addition to your technical responsibilities, you will also play a key role in mentoring junior team members, collaborating with stakeholders across departments, and ensuring the scalability and efficiency of our ML models. Participation in code reviews, planning discussions, and overall contribution to the team's success will be crucial aspects of your day-to-day work. To excel in this role, you must possess a strong foundation in programming, particularly in Python, and have experience working with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, OpenAI, and Llama. Proficiency in data libraries like NumPy and Pandas, along with expertise in domains like Computer Vision, NLP, LLMs, and Data Science, will be essential for success. The ideal candidate for this position will hold a Bachelors or Masters degree in Computer Science, Data Science, or a related field, and have a minimum of 4 years of experience in Data Science and Machine Learning, with at least 2 years of experience in enterprise applications. Strong analytical and communication skills, along with the ability to manage multiple projects in a fast-paced environment, will be key to thriving in this role. This is a full-time position based in Noida, with a day shift schedule that requires in-person work at the designated location. If you are passionate about leveraging AI and ML technologies to drive innovation and solve complex challenges, we encourage you to apply and join our dynamic team.,

We are seeking a highly skilled AI/ML Engineer to join our team. As an AI/ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning solutions, encompassing traditional models, deep learning architectures, and generative AI systems. Your role will involve collaborating with data engineers and cross-functional teams to create scalable, ethical, and high-performance AI/ML solutions that contribute to business growth. Your key responsibilities will include developing, implementing, and optimizing AI/ML models using both traditional machine learning and deep learning techniques. You will also design and deploy generative AI models for innovative business applications, in addition to working closely with data engineers to establish and maintain high-quality data pipelines and preprocessing workflows. Integrating responsible AI practices to ensure ethical, explainable, and unbiased model behavior will be a crucial aspect of your role. Furthermore, you will be expected to develop and maintain MLOps workflows to streamline training, deployment, monitoring, and continuous integration of ML models. Your expertise will be essential in optimizing large language models (LLMs) for efficient inference, memory usage, and performance. Collaboration with product managers, data scientists, and engineering teams to seamlessly integrate AI/ML into core business processes will also be part of your responsibilities. Rigorous testing, validation, and benchmarking of models to ensure accuracy, reliability, and robustness are essential aspects of this role. To be successful in this position, you must possess a strong foundation in machine learning, deep learning, and statistical modeling techniques. Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks is required. Proficiency in Python and ML engineering tools such as MLflow, Kubeflow, or SageMaker is also necessary. Experience in deploying generative AI solutions, understanding responsible AI concepts, solid experience with MLOps pipelines, and proficiency in optimizing transformer models or LLMs for production workloads are key qualifications for this role. Additionally, familiarity with cloud services (AWS, GCP, Azure), containerized deployments (Docker, Kubernetes), as well as excellent problem-solving and communication skills are essential. Ability to work collaboratively with cross-functional teams is also a crucial requirement. Preferred qualifications include experience with data versioning tools like DVC or LakeFS, exposure to vector databases and retrieval-augmented generation (RAG) pipelines, knowledge of prompt engineering, fine-tuning, and quantization techniques for LLMs, familiarity with Agile workflows and sprint-based delivery, and contributions to open-source AI/ML projects or published papers in conferences/journals. Join our team at Lucent Innovation, an India-based IT solutions provider, and enjoy a work environment that promotes work-life balance. With a focus on employee well-being, we offer 5-day workweeks, flexible working hours, and a range of indoor/outdoor activities, employee trips, and celebratory events throughout the year. At Lucent Innovation, we value our employees" growth and success, providing in-house training, as well as quarterly and yearly rewards and appreciation. Perks: - 5-day workweeks - Flexible working hours - No hidden policies - Friendly working environment - In-house training - Quarterly and yearly rewards & appreciation,

As a Machine Learning Engineer, you will utilize your expertise to contribute to the development of a world-leading capability in the domain of machine learning. Your responsibilities will involve participating in the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will be tasked with applying machine learning, deep learning, and signal processing techniques to large datasets such as audio, sensors, images, videos, and text in order to develop models. Additionally, you will be responsible for architecting large-scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will also evaluate and validate analysis using statistical methods and present findings in a clear manner to individuals not well-versed in the fields of data science and computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods for adoption, and conduct feature engineering to enhance model performance. Your background should include knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with at least 5 years of professional experience in real-world applications. Strong programming skills in languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with familiarity with software engineering concepts like OOP and design patterns, are essential. Proficiency in machine learning libraries such as TensorFlow, Keras, scikit-learn, and PyTorch is required. Additionally, you should possess excellent mathematical abilities, including expertise in accuracy, significance tests, visualization, and advanced probability concepts. Experience in architecting and implementing end-to-end solutions for accelerating experimentation and model building is highly desirable. A working knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and the ability to conduct independent and collaborative research are crucial for success in this role. Strong written and verbal communication skills are also important. Candidates with a B.E./B.Tech./B.S. degree and at least 3 years of experience in machine learning, deep learning, natural language processing, or image/signal processing will be considered. Preferably, candidates with an M.E./M.S./M.Tech./PhD in fields related to Computer Science and experience in machine learning, image and signal processing, or statistics are preferred for this position.,

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients" needs. You will collaborate with cross-functional teams to integrate AI models into our products and services, leveraging cutting-edge technologies to drive innovation and deliver impactful results. Your responsibilities will include designing and developing AI models and algorithms to solve business problems, implementing machine learning and deep learning algorithms for various applications, collaborating with data scientists and engineers to preprocess data and build datasets for training models, integrating AI models into software applications and platforms, optimizing AI models for performance, scalability, and efficiency, conducting research to stay current with the latest advancements in AI and machine learning technologies, testing and validating AI models to ensure accuracy and reliability, deploying AI models into production environments, and monitoring their performance. Furthermore, you will collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements: - Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. - Proficiency in programming languages such as Python, Java, or C++. - Hands-on experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, reinforcement learning). - Experience with data preprocessing, feature engineering, and model evaluation. - Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. - Excellent problem-solving skills and ability to work independently as well as part of a team. - Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: - Experience with natural language processing (NLP) and computer vision applications. - Familiarity with big data technologies (e.g., Hadoop, Spark) for handling large-scale datasets. - Understanding of DevOps practices and experience with CI/CD pipelines. - Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).,

At EY, you will have the opportunity to shape a career tailored to your unique qualities, supported by a global network, inclusive environment, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to the continuous improvement of EY. Join us in creating an exceptional journey for yourself and in making a positive impact on the working world for all. As an AI and Full Stack Technical Lead, you are required to have 4-7 years of experience in application development, with a minimum of 3 years focused on designing and implementing modular and reusable code using ReactJs. Your expertise should include strong proficiency in React JS, Node JS, and Express JS, along with knowledge in Redux/Flux, RxJS, HTML, CSS, JavaScript, AJAX, and JSON. You are expected to be well-versed in UI development concepts, web application architecture principles, design patterns, and front-end web technologies. In addition to technical skills, you should possess hands-on experience in Sass & CSS Frameworks, Rest API knowledge, core Python concepts, API integration, data processing using libraries such as pandas and NumPy, and familiarity with AI/ML libraries like scikit-learn and transformers. Experience in writing unit and integration test cases, agile methodologies, responsive UI development, and proficiency in tools like Visual Studio, TFS, VSTS, and GIT are essential. Soft skills play a crucial role in this role, with emphasis on excellent communication, teamwork, self-motivation, ability to thrive in high-pressure situations, strong presentation skills, and collaboration with globally distributed teams. Your responsibilities will include understanding existing application architecture, developing engaging and accessible UI applications, collaborating with cross-functional teams in an agile environment, respecting UX principles, contributing to all phases of development, mentoring junior developers, establishing best practices, and staying updated on the latest technologies relevant to EY's business needs. EY is dedicated to building a better working world by delivering long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through the expertise of diverse teams across 150 countries. By leveraging data and technology, EY professionals in assurance, consulting, law, strategy, tax, and transactions strive to ask better questions and provide innovative solutions to address the complex challenges of today's world.,

About Taxmann At Taxmann, our vision is to achieve perfection, skill, and accuracy in everything we do. From its humble beginnings as a small family business in 1972, Taxmann has evolved into a technology-oriented Publishing/Product company with independent Research & Editorial, Production, Sales & Marketing, and Technology divisions, which have now become the backbone of Taxmann. Our mission at Taxmann is to spearhead the pursuit of expertise and authenticity in providing the most authentic and fastest information reporting. With over 60 years of domain knowledge and the trust of more than 500k legal professionals nationwide, Taxmann proudly stands as the #1 source for everything related to Tax & Corporate Laws of India. Taxmann owes its success to its core strength, the Editorial and Research Division, which consists of over 200 highly motivated associates from the legal community, including advocates, lawyers, chartered accountants, and company secretaries. These professionals monitor all developments in the judicial, administrative, and legislative fields with impeccable perfection, skill, and accuracy. Job Responsibilities We are currently looking for a talented Data Scientist with expertise in GenAI, Python, Power BI, and SQL to join our team. The selected candidate will be responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making. Additionally, they will be involved in creating APIs and web applications in Python, designing Python-based Rest APIs, developing Power BI dashboards, generating reports, and implementing data-driven strategies to enhance organizational efficiency. Key Responsibilities - Collect, process, and analyze large datasets to derive actionable insights. - Develop and enhance GenAI, Machine learning, and Natural Language Processing models for predictive modeling. - Create and optimize complex RAG projects for Chatbots. - Build and maintain RESTful APIs and web applications using Python frameworks such as Flask and FastAPI. - Utilize pandas and beautifulsoup for data extraction and manipulation. - Design and deploy Power BI dashboards and visualizations for real-time and ad hoc reporting needs. - Write efficient and scalable SQL queries for data extraction and analysis. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Present findings and recommendations to stakeholders in a clear and concise manner. - Ensure data accuracy, integrity, and governance throughout all analytics processes. - Automate data collection and reporting pipelines to enhance efficiency. Requirements - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - Minimum of 2 years of experience as a Data Scientist or in a similar analytical role. - Proficiency in Python for data manipulation, API development, and GenAI chatbot app creation. - Strong expertise in Power BI, including DAX and custom visual creation. - Advanced knowledge of SQL and relational databases. - Familiarity with tools like Pandas, NumPy, Scikit-learn, and other data analysis libraries. - Strong problem-solving and communication skills. - Experience with version control (e.g., Git) and deployment tools is advantageous. Preferred Qualifications - Experience with cloud platforms such as Azure, AWS, or GCP. - Knowledge of machine learning techniques and model deployment. - Background in business intelligence, KPIs, and performance tracking. (ref:hirist.tech),

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. Your responsibilities will include project planning, tracking, and execution, utilizing methodologies such as Agile, Scrum, and SDLC/Waterfall. You will demonstrate your ability to juggle multiple projects and stakeholders across both business and technical domains, while also showcasing your skills in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart will be essential for effective project management. Technical exposure in AI/ML is a must-have for this role, encompassing familiarity with the AI/ML project lifecycle, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). You will be well-versed in MLOps practices, model versioning, and CI/CD pipelines for ML, collaborating closely with data scientists, ML engineers, and DevOps teams to deliver innovative AI/ML solutions. Your ability to translate business challenges into AI/ML use cases and efficiently manage delivery timelines will be paramount. In addition to your technical acumen, you will exhibit strong leadership qualities, effective decision-making skills, and impeccable organizational abilities. Your excellent communication and stakeholder management aptitudes will enable you to influence and secure buy-in from executive sponsors and cross-functional teams. Building and nurturing relationships with business leaders and technical stakeholders will be crucial for the success of AI/ML projects under your purview. Your roles and responsibilities will include leading AI/ML and software development projects end-to-end, collaborating with data science and engineering teams to define project scope and deliverables, and maintaining detailed project plans aligned with business objectives. You will monitor progress, mitigate risks, ensure timely delivery of AI/ML models and software components, and facilitate alignment between business, data, and engineering stakeholders. Tracking project metrics, ROI, and model performance post-deployment, while ensuring compliance with data governance, security, and ethical AI standards, will be integral to your responsibilities. Continuous improvement in project execution and delivery frameworks, staying abreast of AI/ML trends, and contributing to strategic planning for future initiatives will be key aspects of your role as an Associate Project Manager in AI/ML.,

You are an experienced Senior Applied AI Engineer with 4+ years of expertise in developing, deploying, and optimizing advanced AI/ML models. Your passion lies in designing scalable AI solutions, leading teams, and solving complex problems. At XenonStack, we are looking for individuals like you to join our team and contribute to our mission of enabling people and organizations to gain real-time and intelligent business insights through agentic systems. As a Senior Applied AI Engineer at XenonStack, your responsibilities will include leading the development and implementation of AI/ML models and algorithms to ensure they meet business requirements and are scalable. You will guide the team in creating, optimizing, and deploying machine learning models and features, collaborating with cross-functional teams to design AI solutions that seamlessly integrate with business applications. Additionally, you will mentor junior engineers, provide leadership on best practices for AI development and model deployment, work with clients to define AI use cases, and deliver tailored solutions aligned with business goals. To excel in this role, you should have at least 4 years of experience in AI/ML engineering, strong proficiency in Python and popular AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, and expertise in designing and developing machine learning algorithms for production systems. You should possess a deep understanding of AI model optimization, feature engineering, and model deployment processes, as well as experience in working with cloud-based AI/ML platforms like AWS, GCP, or Azure. Strong client-facing skills, leadership experience, problem-solving abilities, and excellent communication skills are also essential for this role. At XenonStack, we offer continuous learning and growth opportunities, access to advanced certifications and hands-on training in the latest AI/ML technologies, career advancement prospects, recognition for contributions to AI advancements, comprehensive health insurance and wellness programs, and project-based allowances and cab facilities for women employees. Our culture is one of cultivation with bold, courageous, and human-centric leadership principles, emphasizing obsession and deep work in everything we do. If you are energized by the idea of shaping the future of AI in business processes and enterprise systems, XenonStack is the perfect place for you to make an impact. Join us at XenonStack and be a part of our vision and mission for accelerating the world's transition to AI + Human Intelligence. Work towards simplifying the user experience with AI Agents and Agentic AI, obsessing over adoption, and simplifying even the most complex challenges to create seamless, intuitive experiences with AI agents and Agentic AI.,

As a Manager of Engineering (AI/ML) at our company, you will lead a team of ML engineers, data scientists, and software engineers to develop cutting-edge AI/ML solutions that drive business operations and innovation. Your role will involve a combination of technical leadership, strategic thinking, and operational skills to ensure the successful development and implementation of AI/ML models and systems. You will be responsible for leading end-to-end design, development, and deployment of scalable AI/ML solutions, ensuring high performance, reliability, and maintainability. Additionally, you will coach the team on AI/ML projects, resolve technical challenges, and establish robust MLOps practices for model development, deployment, monitoring, and retraining. Leveraging Gen AI techstack, including Langchain, LLM, and RAG, you will build solutions that address business challenges and incorporate advanced technologies into the company's applications. To excel in this role, you should have 10+ years of overall experience, including 5+ years of leading engineering teams. A Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field is required, with proficiency in ML packages like Tensorflow, PyTorch, scikit-learn, and Spark ML. You must possess a deep understanding of AI/ML algorithms, frameworks, and technologies, along with experience in building and deploying AI/ML models at scale. Furthermore, a strong knowledge of software engineering best practices, including agile development methodologies, code review processes, and CI/CD pipelines, is essential. Familiarity with Generative AI, RAG techniques, NLP concepts, and programming languages such as Python is also required. Experience in a distributed, large-scale, and fast-growing environment is preferred. If you have experience in LangChain, it would be considered a bonus. Please note that visa sponsorship is not available for this position. We are committed to fostering a diverse, welcoming, and inclusive environment where all individuals are encouraged to bring their authentic selves to work. Our recruitment process ensures fair consideration of all applicants, including those with arrest and conviction records, in compliance with applicable laws. At our company, we believe in empowering our employees to achieve success through a flexible workforce model, offering options for fully office-based, fully remote, or hybrid work environments. We value the unique backgrounds and abilities of our team members, recognizing the diverse experiences that contribute to our collective success. If you require any accommodations during the application process, please contact resume@newrelic.com. To learn more about our Applicant Privacy Notice, please visit https://newrelic.com/termsandconditions/applicant-privacy-policy.,

You are seeking a Full Stack Developer AI/ML with 0-1 year of experience to join an innovative team in Jodhpur. The ideal candidate should possess a solid understanding of machine learning models, backend development, and web application deployment. Your responsibilities will include designing, developing, and deploying AI/ML models for real-world applications, working with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks, and developing RESTful APIs to integrate AI models with web applications. Additionally, you will be responsible for implementing and maintaining backend services using Node.js, FastAPI, or Flask, building and enhancing frontend UIs with React.js, Vue.js, or Angular, and managing databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. Furthermore, you will optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure), work on data preprocessing, feature engineering, and model evaluation, and deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). Collaboration with cross-functional teams for AI integration into business applications is also a part of your role. The required skills and qualifications for this position include 0-1 year of experience in AI/ML and full-stack development, strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, experience with backend development using Node.js, FastAPI, Flask, or Django, knowledge of frontend frameworks like React.js, Vue.js, or Angular, familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase), understanding of machine learning workflows, model training, and deployment, experience with cloud services (AWS SageMaker, Google AI, Azure ML), knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models, basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning, familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, D3.js, strong problem-solving and analytical skills, good communication, and teamwork skills. Preferred qualifications include experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face), knowledge of MLOps, model monitoring, and retraining pipelines, understanding of Reinforcement Learning (RL) and Generative AI, familiarity with Edge AI and IoT integrations, and previous internship or project experience in AI/ML applications. As part of the benefits, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

You will play a vital role as an AI/ML Engineer in a pioneering PropTech startup based in Dubai. The project involves developing a cutting-edge digital real estate platform that integrates AI/ML, data analytics, Web3/blockchain, and conversational AI for long-term sales and short-term stays. Your primary responsibility will be to operationalize machine learning models ensuring they are scalable and reliable for our innovative features. Your tasks will include designing and maintaining scalable infrastructure for training and deploying ML models, creating low-latency APIs for production use, managing data pipelines, and overseeing the MLOps lifecycle. Collaboration with data scientists, backend developers, and product managers will be essential to ensure efficient delivery of AI-driven features. Key Responsibilities: - Design, build, and maintain scalable infrastructure for training and deploying machine learning models. - Operationalize ML models such as the "TruValue UAE" AVM and property recommendation engine by creating robust APIs. - Develop and manage data pipelines to provide clean and reliable data for training and real-time inference. - Implement and manage the MLOps lifecycle including CI/CD for models, monitoring for model drift, and automated retraining. - Optimize the performance of ML models for speed and cost-efficiency in a cloud environment. - Collaborate with backend engineers to integrate ML services with the core platform architecture. - Work with data scientists to enhance model efficacy and feasibility. - Build the technical backend for the AI-powered chatbot, integrating it with NLP services and platform data. Required Skills and Experience: - 3-5+ years of experience in Software Engineering, Machine Learning Engineering, or related roles. - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - Strong proficiency in Python and software engineering fundamentals. - Experience deploying ML models in a production environment on major cloud platforms. - Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. - Experience with data pipelines using tools such as Apache Airflow, Kubeflow Pipelines, or cloud-native solutions. - Collaboration with cross-functional teams to integrate AI solutions into products. - Experience with cloud platforms and containerization (AWS, Azure, GCP, Docker, Kubernetes). Preferred Qualifications: - Experience in PropTech or FinTech sectors. - Direct experience with MLOps tools and platforms (MLflow, Kubeflow, AWS SageMaker, Google AI Platform). - Familiarity with big data technologies (Spark, BigQuery, Redshift). - Experience in building real-time machine learning inference systems. - Strong understanding of microservices architecture. - Experience working collaboratively with data scientists.,