174 Scikitlearn Jobs

House of Shipping is seeking a high-caliber Data Science Lead to join their team in Hyderabad. With a background of 15-18 years in data science, including at least 5 years in leadership roles, the ideal candidate will have a proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing. Strong expertise in statistical learning, ML architecture, productionizing models, and impact tracking is essential for this role. As the Data Science Lead, you will be responsible for leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This position requires a blend of technical leadership and strategic alignment with various business units to deliver measurable business impact. Key responsibilities include defining and driving the data science roadmap across forecasting, route optimization, warehouse simulation, inventory management, and fraud detection. You will work closely with engineering teams to architect end-to-end pipelines, from data ingestion to API deployment. Proficiency in Python and MLOps tools like Scikit-Learn, XGBoost, PyTorch, MLflow, Vertex AI, or AWS SageMaker is crucial for success in this role. Collaboration with operations, product, and technology teams to prioritize AI use cases and define business metrics will be a key aspect of the job. Additionally, you will be responsible for managing experimentation frameworks, mentoring team members, ensuring model validation, and contributing to organizational data maturity. The ideal candidate will possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Statistics, or Operations Research. Certifications in Cloud ML stacks, MLOps, or Applied AI are preferred. To excel in this role, you should have a strategic vision in AI applications across the supply chain, strong team mentorship skills, expertise in statistical and ML frameworks, and experience in MLOps pipeline management. Excellent business alignment and executive communication skills are also essential for this position. If you are a data science leader looking to make a significant impact in the logistics industry, we encourage you to apply for this exciting opportunity with House of Shipping.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

As an AI + Backend Developer at AskGalore, you will be responsible for developing and maintaining backend systems and APIs for AI-powered applications. Your role will involve designing, implementing, and optimizing machine learning models and algorithms for real-world applications. You will collaborate with cross-functional teams to integrate AI models into scalable, production-ready systems. Your primary tasks will include building and managing robust, secure, and efficient server-side architectures using Python frameworks such as Django, Flask, and FastAPI. Additionally, you will optimize application performance, troubleshoot backend issues, and work with databases (SQL and NoSQL) to store and manage large datasets for AI applications. Furthermore, you will be involved in implementing CI/CD pipelines for seamless deployment of AI and backend solutions and staying up-to-date with the latest advancements in AI and backend development technologies. Your role will require a Bachelor's/Master's degree in Computer Science, Engineering, or a related field, along with proven experience in backend development using Python and frameworks like Django, Flask, or FastAPI. To excel in this role, you should have a strong understanding of AI/ML concepts, libraries, and tools such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience in deploying and scaling AI models in production environments, proficiency in working with RESTful APIs and microservices architecture, and solid knowledge of database management systems like PostgreSQL, MySQL, and MongoDB are essential. Preferred skills include knowledge of Natural Language Processing (NLP) or Computer Vision (CV) techniques, experience with big data processing tools like Apache Spark and Hadoop, and familiarity with DevOps practices for AI/ML pipelines. An understanding of data security and privacy best practices, as well as experience with cloud platforms such as AWS, Google Cloud, or Azure and containerization technologies like Docker and Kubernetes, will be advantageous. As an AI + Backend Developer at AskGalore, you will play a crucial role in designing and developing scalable backend systems while integrating cutting-edge AI technologies. You will contribute to creating robust APIs, deploying AI models, and ensuring efficient and secure system operations to deliver impactful solutions for business and client needs. If you are passionate about AI and ready to lead impactful projects, we invite you to join us at AskGalore, where innovation meets excellence. The working hours for this full-time position are from 9:30 AM to 6:30 PM at Maple Highstreet, Bhopal. The position offers a competitive salary and compensation package in line with industry standards. Don't miss this opportunity to become a vital part of our dynamic team. Apply now to be considered for one of the two vacancies available for this role.,

You will be joining our team as an AI Developer, where your primary responsibility will be to develop and implement AI models and algorithms to address business challenges effectively. Working closely with cross-functional teams, you will integrate AI solutions into existing systems and analyze complex data sets to derive actionable insights. As an AI Developer, it is imperative to stay updated on the latest advancements in artificial intelligence and machine learning technologies to ensure the efficiency and effectiveness of our solutions. Additionally, you will be expected to provide technical guidance and support to both clients and team members. The ideal candidate for this position will hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proficiency in Python and hands-on experience with AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn is essential. A minimum of 3-5 years of experience in AI development and deployment is required, along with strong problem-solving skills and the ability to work independently. Excellent communication and teamwork abilities are also key attributes for success in this role. This role falls under the category of Data Science & Machine Learning in the IT Services & Consulting industry. You will be part of the Data Science & Analytics department, working on a full-time, permanent basis. The educational qualifications preferred for this position include a B.Tech/B.E. in Computers at the undergraduate level and an M.Tech in Computers or an MBA/PGDM in Any Specialization at the postgraduate level.,

You are an experienced professional with 5 to 12 years of experience, looking for a Full-Time opportunity as an Azure Generative AI Engineer. Your primary skills include Data Science, Machine Learning, Python, AI, and Azure. You will be responsible for designing, developing, and deploying Generative AI applications using Python, FastAPI, Azure Durable Functions, and Azure OpenAI Services. You must build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI applications and work on end-to-end Generative AI projects. Your role involves integrating AI/ML search and data services such as Azure Cognitive Search, Cosmos DB, and other Azure-native tools. Automation of key components of the RAG workflow for ensuring production-grade performance and scalability is crucial. You will be evaluating, validating, and fine-tuning the outputs of Generative AI models for accuracy and relevance, implementing monitoring, observability, and guardrails to ensure responsible and secure use of AI technologies, and collaborating with cross-functional teams to deliver innovative AI solutions. To qualify for this role, you must have strong programming experience in Python, including frameworks like FastAPI and Flask. A deep understanding of Generative AI, LLMs, and RAG methodologies is essential. Proficiency in Azure cloud services, especially Azure OpenAI, Functions, AI Search, and Cosmos DB is required. Hands-on experience with machine learning, deep learning, and natural language processing (NLP) is a must. Familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and libraries like scikit-learn, spaCy, etc., is expected. You should possess solid knowledge of machine learning algorithms, including GPTs, CNNs, RNNs, k-NN, Naive Bayes, SVM, and Decision Forests, along with experience in evaluating and fine-tuning LLM performance and implementing responsible AI practices. Preferred qualifications include certifications in Azure AI Engineer Associate or related fields. Experience working with managed LLMs beyond Azure OpenAI (e.g., OpenAI API, Anthropic, Cohere, etc.) and knowledge of DevOps, CI/CD, and infrastructure automation for AI pipelines are considered advantageous.,

As a Machine Learning Engineer at ClearTrail, you will be a part of a team dedicated to developing solutions that empower law enforcement and federal agencies globally to keep their people, places, and communities safe. With over 21 years of experience in safeguarding nations and enriching lives, ClearTrail is leading the way in the future of intelligence gathering through artificial intelligence and machine learning-based lawful interception & communication analytics solutions. Your role will involve developing end-to-end machine learning pipelines for a variety of analytics problems, refining models, and implementing solutions. You will be responsible for communicating results to both technical and non-technical audiences, providing expertise in large language models (LLMs), such as OpenAI models, and utilizing retrieval augmented generation techniques to enhance LLM performance. Additionally, you will stay updated with the latest advancements in AI, demonstrate strong problem-solving and code debugging skills, and have practical experience with proprietary and open-source generative AI models like transformers and GPT models. The ideal candidate for this position should have 2-4 years of experience as a Machine Learning Engineer with expertise in LLMs. You should possess a Bachelor's degree in computer science & engineering, sound theoretical and practical knowledge of machine learning algorithms, and hands-on experience with LLM applications. Mandatory skills include proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries, as well as experience in exploratory data analysis, neural networks, hyperparameter tuning, model deployment, and SQL. Join us at ClearTrail in Indore, M, and be a part of a dynamic team that is shaping the future of intelligence gathering and making a difference in the world.,

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be essential. Additionally, you will optimize existing AI models for enhanced performance and accuracy. To excel in this role, you should stay abreast of the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code for knowledge sharing and reproducibility purposes will also be part of your responsibilities. Furthermore, mentoring junior team members and fostering a culture of innovation will be key components of your role. The ideal candidate for this position should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You should have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is essential. A solid grasp of machine learning algorithms, data structures, and software engineering principles is also required. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, will be advantageous. Hands-on experience in NLP, computer vision, or deep learning applications is desirable. Strong problem-solving and analytical skills, coupled with excellent communication and collaboration abilities, are crucial for success in this role. While a PhD in an AI/ML-related field is not mandatory, it would be a significant asset. Experience in deploying models in production environments using CI/CD pipelines, as well as contributions to open-source AI/ML projects or publications in esteemed journals or conferences, will be considered advantageous for this position.,

As an Artificial Intelligence Teacher (International curriculum) at KiiTIS, you will be responsible for delivering high-quality education in the field of Artificial Intelligence. To qualify for this position, you should hold a bachelor's degree in a relevant subject such as Computer Science, AI, or a related field. Additionally, having 3-5 years of professional or industry experience in AI fields would be highly desirable. Your technical expertise should include proficiency in Python, machine learning frameworks such as Tensor Flow and Scikit-learn, as well as knowledge of data science and ethical AI principles. It is important to have a good understanding of AI applications in various sectors such as business, healthcare, cyber security, and robotics. If you are passionate about teaching and possess the required qualifications and technical skills, we encourage you to submit your resume along with a covering letter to careers@kiitis.ac.in by 31st July, 2025.,

We are seeking a passionate Data Science fresher who has completed at least 6 months of practical training, internship, or project experience in the data science field. In this role, you will have the exciting opportunity to utilize your analytical and problem-solving skills on real-world datasets while collaborating closely with experienced data scientists and engineers. Your responsibilities will include assisting in data collection, cleaning, and preprocessing from various sources, supporting the team in building, evaluating, and optimizing machine learning models, performing exploratory data analysis (EDA) to extract insights and patterns, working on data visualization dashboards and reports using tools like Power BI, Tableau, or Matplotlib/Seaborn, collaborating with senior data scientists and domain experts on ongoing projects, documenting findings, code, and models in a structured manner, and continuously learning and adopting new techniques, tools, and frameworks. To be successful in this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, along with a minimum of 6 months of internship/training experience in data science, analytics, or machine learning. Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.), understanding of machine learning algorithms (supervised/unsupervised), knowledge of SQL and database concepts, familiarity with data visualization tools/libraries, and a basic understanding of statistics and probability are required technical skills. Additionally, you should possess strong analytical thinking and problem-solving abilities, good communication and teamwork skills, and an eagerness to learn and grow in a dynamic environment. Exposure to cloud platforms (AWS, GCP, Azure), experience with big data tools (Spark, Hadoop), and knowledge of deep learning frameworks (TensorFlow, PyTorch) are considered advantageous but not mandatory. In return, we offer you the opportunity to work on real-world data science projects, mentorship from experienced professionals in the field, a collaborative, innovative, and supportive work environment, and a growth path to advance into a full-time Data Scientist role with us. This is a full-time, permanent position suitable for fresher candidates. The benefits include health insurance, and the work schedule consists of day shifts from Monday to Friday. Fluency in English is preferred, and the work location is in person.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering as a key player. Our focus lies in assisting our clients in the design and development of cutting-edge products that are AI, Cloud, and Mobile ready, along with creating content and commerce-driven platforms. Through a design-led Digital Transformation framework, we facilitate the creation of connected, converged digital experiences tailored for the modern world. By leveraging our expertise in strategic design, engineering, and industry knowledge, you will play a crucial role in helping our clients navigate the digital landscape, thereby accelerating their growth trajectory. Headquartered in Silicon Valley, ACL Digital is a frontrunner in design-led digital experiences, innovation, enterprise modernization, and product engineering services, particularly within the Technology, Media & Telecom sectors. We are proud of our diverse and skilled workforce, which is part of the larger ALTEN Group comprising over 50,000 employees spread across 30+ countries, fostering a multicultural workplace and a collaborative knowledge-sharing environment. In India, our operations span across Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, and Ahmedabad, while in the USA, we have established offices in California, Atlanta, Philadelphia, and Washington states. As a suitable candidate for this role, you are expected to possess the following technical skills and competencies: - A minimum of 4-5 years of relevant experience in the field - Preferably trained or certified in Data Science/Machine Learning - Capable of effectively collaborating with technical leads - Strong communication skills coupled with the ability to derive meaningful conclusions - Proficiency in Data Science concepts, Machine Learning algorithms & Libraries like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Flask framework - Proficiency in Docker and Virtual Environment - Proficient in Database Operations - Strong analytical and problem-solving skills - Ability to excel in a dynamic environment with varying degrees of ambiguity Your role would involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, statistical techniques, and conducting experiments to derive reliable insights from data - Understanding business use-cases and utilizing various sources to collect and annotate datasets for business problems - Possessing a strong academic background with excellent analytical skills and exposure to machine learning and information retrieval domain and technologies - Strong programming skills with the ability to work in languages such as Python, C/C++ - Acquiring data from primary or secondary sources and performing data tagging - Filtering and cleaning data based on business requirements and maintaining a well-defined, structured, and clean database - Working on data labeling tools and annotating data for machine learning models - Interpreting data, analyzing results using statistical techniques and models, and conducting exploratory analysis If you are someone who thrives in a challenging and dynamic environment and possesses the required technical skills and competencies, we look forward to having you join our team at ACL Digital.,

You will be responsible for developing, training, and fine-tuning Machine Learning models for AI/ML applications. This includes designing and implementing data pipelines for data processing, model training, and inference. Additionally, you will be deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will also be a key part of your role. You will also be expected to research and implement various ML and AI techniques to improve performance. To excel in this role, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, will be beneficial. Familiarity with Docker and container-based deployments to create cloud-agnostic products is required. A strong understanding of AI and Machine Learning concepts such as Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning is essential. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is preferred. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be an advantage. Understanding of various Statistical models is also expected. If you have 5 to 7 years of experience in the relevant field and possess the mentioned skills and qualifications, we would like to hear from you.,

Are you seeking an exciting opportunity to become part of a dynamic and expanding team in a fast-paced and challenging environment This unique position offers you the chance to collaborate with the Business team to deliver a comprehensive perspective. As a Model Risk Program Analyst within the Model Risk Governance and Review Group (MRGR), your responsibilities include developing model risk policy and control procedures, conducting model validation activities, offering guidance on appropriate model usage in the business context, evaluating ongoing model performance testing, and ensuring that model users understand the strengths and limitations of the models. This role also presents attractive career paths for individuals involved in model development and validation, allowing them to work closely with Model Developers, Model Users, Risk and Finance professionals. Your key responsibilities will involve engaging in new model validation activities for all Data Science models in the coverage area. This includes evaluating the model's conceptual soundness, assumptions, reliability of inputs, testing completeness, numerical robustness, and performance metrics. You will also be responsible for conducting independent testing and additional model review activities, liaising with various stakeholders to provide oversight and guidance on model usage, controls, and performance assessment. To excel in this role, you should possess strong quantitative and analytical skills, preferably with a degree in a quantitative discipline such as Computer Science, Statistics, Data Science, Math, Economics, or Math Finance. A Master's or PhD degree is desirable. Additionally, you should have a solid understanding of Machine Learning and Data Science theory, techniques, and tools, including Python programming proficiency and experience with machine learning libraries such as Numpy, Scipy, Scikit-learn, TensorFlow, and PyTorch. Prior experience in Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science, along with excellent writing and communication skills, will be advantageous. A risk and control mindset, with the ability to ask incisive questions, assess materiality, and escalate issues, are also essential for this role. By staying updated on the latest developments in your coverage area, you will contribute to maintaining the model risk control apparatus of the bank and serve as a key point of contact within the organization. Join our team and be a part of shaping the future of model-related risk management decisions.,

You are a highly skilled and experienced Solution Architect specializing in Data & AI, with over 8 years of experience. In this role, you will lead and drive the data-driven transformation within the organization. Your main responsibility is to design and implement cutting-edge AI and data solutions that align with the business objectives. Collaborating closely with cross-functional teams, you will create scalable, high-performance architectures utilizing modern technologies in data engineering, machine learning, and cloud computing. Your key responsibilities include architecting and designing end-to-end data and AI solutions to address business challenges and optimize decision-making. You will define and implement best practices for data architecture, data governance, and AI model deployment. Collaborating with data engineers, data scientists, and business stakeholders, you will deliver scalable and high-impact AI-driven applications. Additionally, you will lead the integration of AI models with enterprise applications, ensuring seamless deployment and operational efficiency. It is also part of your role to evaluate and recommend the latest technologies in data platforms, AI frameworks, and cloud-based analytics solutions while ensuring data security, compliance, and ethical AI implementation. Guiding teams in adopting advanced analytics, AI, and machine learning models for predictive insights and automation is also a crucial aspect. Your role requires driving innovation by identifying new opportunities for AI and data-driven improvements within the organization. To excel in this position, you must possess over 8 years of experience in designing and implementing data and AI solutions. Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud is essential. Hands-on experience with big data technologies like Spark, Databricks, Snowflake, etc., is required. Proficiency in TensorFlow, PyTorch, Scikit-learn, etc., is a must. A deep understanding of data modeling, ETL processes, and data governance frameworks is necessary. Experience in MLOps, model deployment, and automation is expected. Proficiency in Generative AI frameworks and strong programming skills in Python, SQL, and Java/Scala (preferred) are essential. Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus. Excellent problem-solving skills and the ability to work in a fast-paced environment are crucial. Strong communication and leadership skills, with the ability to drive technical conversations, are highly valuable. Preferred qualifications for this role include certifications in cloud architecture, data engineering, or AI/ML, experience with generative AI, a background in developing AI-driven analytics solutions for enterprises, experience with Graph RAG, Building AI Agents, Multi-Agent systems, and additional certifications in AI/GenAI. Proven leadership skills are expected in this position. This role offers various perks such as flexible timings, 5 days working schedule, a healthy environment, celebrations, opportunities for learning and growth, building a community, and medical insurance benefits.,

You are invited to join our team as an Applied AI Engineer (Fresher), specifically looking for graduates from IITs or NITs. This is a full-time position based in Vapi, Gujarat, offering an exciting opportunity to work within our dynamic AI Engineering team. The ideal candidate will possess a strong foundation in Data Structures & Algorithms, exceptional problem-solving skills, and a genuine enthusiasm for AI, machine learning, and deep learning technologies. As an Applied AI Engineer, you will collaborate closely with senior engineers and data scientists to design and implement AI-driven solutions. Your responsibilities will include developing, optimizing, and deploying machine learning and deep learning models, as well as translating abstract AI challenges into efficient, scalable, and production-ready code. Additionally, you will contribute to data preprocessing, feature engineering, and model evaluation tasks, participate in technical discussions and code reviews, and explore cutting-edge AI frameworks and research trends. Key Skills required for this role include exceptional problem-solving abilities, proficiency in Python and core libraries such as NumPy, Pandas, and scikit-learn, a fundamental understanding of machine learning concepts, exposure to deep learning frameworks like TensorFlow or PyTorch, and a strong grasp of object-oriented programming and software engineering principles. A passion for AI, along with analytical, logical thinking, and mathematical skills, will be essential for success in this position. Candidates with hands-on experience in AI/ML projects, familiarity with Reinforcement Learning, NLP, or Computer Vision, and knowledge of tools like Git, Docker, and cloud platforms (AWS, GCP, Azure) are highly preferred. Educational qualifications include a degree in Computer Science, Artificial Intelligence, Machine Learning, or Data Science from IITs or NITs, with a strong academic record and demonstrated interest in AI/ML concepts. If you meet these requirements and are excited about contributing to the future of intelligent systems, we encourage you to apply by sharing your CV with us at jignesh.pandoriya@merillife.com. Join our team and be part of shaping innovative solutions that directly impact lives.,

The Software Engineer role at Firstsource requires developing capabilities to build software systems using various software and cloud technologies. You should possess strong analytical and problem-solving skills, along with expertise in software programming, software database management, and creating visualization and interaction layers on Web/Windows platforms. Integration with underlying technology frameworks and computer operating systems like Windows/Unix is essential. Exposure to AI/ML and Data science will be advantageous. Your responsibilities will include developing and building software applications/systems based on design documents across Front-end (web/windows), Back-end (.net/java/python), and Database systems. You will need to follow best practices for design, coding, automated testing, and deployment to production, working effectively within an agile-at-scale framework. Communication of status, updates, and plans to project leadership is crucial, along with the willingness to learn, acquire, and get certified on new technologies as required by projects. Any experience in AI, ML, and Data science will be an added advantage. Key requirements for the role include proficiency in at least one of Java/.Net/Python/NodeJS, good knowledge of JavaScript, at least one of ASP.Net/Angular/ReactJS, RDBMS (Oracle/SQL Server/Postgre) and SQL, familiarity with database management tools like Liquibase/Hibernate, understanding of DevOps (e.g., Azure DevOps) and cloud PaaS, knowledge of coding standards, debugging ability, software development lifecycle, and processes. Experience with cloud-based deployment (AWS/Azure), model performance monitoring, and troubleshooting issues is essential. Strong written and oral communication skills, the ability to work effectively in a cross-functional team, and familiarity with Docker and Git are required. Additionally, exposure to AI/ML frameworks like Pythin, Keras, Pytorch, and libraries such as scikit-learn, as well as practical application of statistical analysis and mathematical modeling concepts, will be beneficial for this role. Please note that Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Beware of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

You will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. Your role will involve monitoring the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. You will collaborate with cross-functional teams to analyze business needs, define problems, and identify the goals and requirements of AI systems. Additionally, working closely with the development team will be essential to ensure seamless AI development and integration, defining APIs and protocols for communication between AI systems and external services. Documenting AI models and infrastructure, processes, and practices for reference, as well as presenting progress to the leadership team and stakeholders, will also be part of your responsibilities. Ensuring strong data security and privacy measures for data handled in AI applications is crucial. Staying updated with emerging AI research and technologies, initiating innovative solutions and improvements to advance AI capabilities, and conducting training sessions to share knowledge and expertise in AI with the team will be key aspects of your role. To qualify for this position, you should have a Bachelor's degree in Computer Science, IT, Data Science, or a related field. You must have 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models. A proven track record of deploying AI models in production is required. Proficiency in programming languages such as Python, JavaScript, or C++ is essential, with experience in JAVA considered a plus. Knowledge of SQL and NoSQL databases, as well as familiarity with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) is necessary. Experience with machine learning models and algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, and concepts of Natural Language Processing (NLP) and/or Natural Language Generation (NLG) is expected. An eagerness to learn and continuously expand knowledge in emerging fields, along with strong interpersonal and communication skills and a willingness to collaborate with different teams, are also important qualities for this role.,

As a ML Engineer/Data Scientist at Innova ESI in Bengaluru, you will be responsible for leveraging your strong background in Computer Science and Algorithms to work on pattern recognition, neural networks, algorithms, and statistical methods in order to deliver end-to-end data solutions. Your role will involve collaborating in cross-functional teams to drive digital transformation through innovative and sustainable IT solutions. You should have a deep understanding of machine learning and NLP, along with commercial experience in building and deploying LLM solutions. With 4-8 years of relevant experience, you are expected to demonstrate exceptional coding ability, particularly in Python, and be familiar with ML tools and libraries like TensorFlow, PyTorch, pandas, and scikit-learn. Your proficiency in Pattern Recognition and Neural Networks, combined with knowledge of Statistics and its application in data analysis, will be key in working with complex algorithms and data models. In addition, you should have a strong understanding of MLOps best practices and experience in deploying LLM applications to production at scale. As a problem solver and self-starter, you enjoy tackling difficult problems and finding optimal solutions independently as well as in a collaborative team environment. Your strong communication skills will enable you to effectively articulate complex technical concepts to non-technical stakeholders. This full-time hybrid role offers flexibility for some remote work while being primarily based in Bengaluru. If you meet the qualifications and are excited about driving digital transformation through innovative data solutions, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

As an AI Ops Expert, you will be responsible for the delivery of projects with defined quality standards within set timelines and budget constraints. Your role will involve managing the AI model lifecycle, versioning, and monitoring in production environments. You will be tasked with building resilient MLOps pipelines and ensuring adherence to governance standards. Additionally, you will design, implement, and oversee AIops solutions to automate and optimize AI/ML workflows. Collaboration with data scientists, engineers, and stakeholders will be essential to ensure seamless integration of AI/ML models into production systems. Monitoring and maintaining the health and performance of AI/ML systems, as well as developing and maintaining CI/CD pipelines for AI/ML models, will also be part of your responsibilities. Troubleshooting and resolving issues related to AI/ML infrastructure and workflows will require your expertise, along with staying updated on the latest AI Ops, MLOps, and Kubernetes tools and technologies. To be successful in this role, you must possess a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, along with at least 8 years of relevant experience. Your proven experience in AIops, MLOps, or related fields will be crucial. Proficiency in Python and hands-on experience with Fast API are required, as well as strong expertise in Docker and Kubernetes (or AKS). Familiarity with MS Azure and its AI/ML services, including Azure ML Flow, is essential. Additionally, you should be proficient in using DevContainer for development and have knowledge of CI/CD tools like Jenkins, Argo CD, Helm, GitHub Actions, or Azure DevOps. Experience with containerization and orchestration tools, Infrastructure as Code (Terraform or equivalent), strong problem-solving skills, and excellent communication and collaboration abilities are also necessary. Preferred skills for this role include experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn, as well as familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar. Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack, along with an understanding of data versioning tools like DVC or MLflow, would be advantageous. Proficiency in Azure-specific tools and services like Azure Machine Learning (Azure ML), Azure DevOps, Azure Kubernetes Service (AKS), Azure Functions, Azure Logic Apps, Azure Data Factory, Azure Monitor, and Application Insights is also preferred. Joining our team at Socit Gnrale will provide you with the opportunity to be part of a dynamic environment where your contributions can make a positive impact on the future. You will have the chance to innovate, collaborate, and grow in a supportive and stimulating setting. Our commitment to diversity and inclusion, as well as our focus on ESG principles and responsible practices, ensures that you will have the opportunity to contribute meaningfully to various initiatives and projects aimed at creating a better future for all. If you are looking to be directly involved, develop your expertise, and be part of a team that values collaboration and innovation, you will find a welcoming and fulfilling environment with us at Socit Gnrale.,

The position based in Chennai requires an ML Engineer with 3 to 8 years of experience to design and implement AI/ML models using Python, TensorFlow, PyTorch, and Scikit-learn. The role involves optimizing models, running experiments, transforming data through classification and clustering techniques, and staying updated on the latest advancements in AI/ML technologies. The ideal candidate should possess over 3 years of experience in Software Design & Development in Python, demonstrating the ability to make pragmatic technical decisions beyond immediate scope. The candidate should excel in debugging complex issues and mentoring junior engineers, with a solid understanding of Data Structures and Object-Oriented Programming. Proficiency in Test-Driven Development (TDD), Unit & Integration testing, experience with Databases, Statistics, and Data Science, along with strong Python skills to write robust and testable code are essential. Moreover, the candidate should have hands-on experience with ML frameworks such as Keras, PyTorch, and Scikit-learn, and familiarity with AutoML would be a plus. Knowledge of AI Cloud platforms like H2O, DataRobot, AWS, and Azure is desirable. The candidate should hold a Bachelor's degree or higher in any discipline. Key skills required for the role include Python, AI/ML, Keras, PyTorch, Scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, and proficiency with databases like MySQL, Oracle, or PostgreSQL. Familiarity with XML and Unit Testing is also necessary. Candidates who are passionate about restarting their careers after a long break are encouraged to apply.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

You will be joining a renowned global digital engineering firm, Srijan, a Material company, as a Senior Developer/ Lead specialized in Data Science. Your role will involve working on Generative AI models such as Azure OpenAI GPT and Multi-Agent System Architecture. You should be proficient in Python and AI/ML libraries like TensorFlow, PyTorch, Scikit-learn. Experience with frameworks like LangChain, AutoGen for multi-agent systems, and strong knowledge of Data Science techniques including data preprocessing, feature engineering, and model evaluation are essential. It is preferred that you have at least 4+ years of experience in a similar role. The job location can be either Gurgaon or Bangalore. Familiarity with Big Data tools such as Spark, Hadoop, Databricks, and databases like SQL, NoSQL will be beneficial. Additionally, expertise in ReactJS for building responsive and interactive user interfaces is a plus. In this role, you can expect professional development and mentorship, a hybrid work mode with a remote-friendly workplace, health and family insurance, 40+ leaves per year including maternity and paternity leaves, as well as access to wellness, meditation, and counseling sessions.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,