327 Scikitlearn Jobs - Page 12

You are a Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. Your primary responsibility will be to develop, train, and deploy machine learning models using Python. You will collaborate with data science and engineering teams to create intelligent solutions that address real-world problems. Your tasks will include working on AI-driven applications such as predictive modeling, natural language processing, and computer vision based on project requirements. You will need to preprocess, clean, and transform data for training and evaluation purposes. Model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch will also be part of your role. It is essential for you to write modular, efficient, and testable code and document processes, models, and experiments clearly for team use and future reference. Staying updated with the latest trends and advancements in AI and machine learning is crucial for this position. You should possess 2 to 3 years of hands-on experience with Python programming. A solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning) is necessary. Experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn is required, as well as exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch. Good knowledge of data structures and algorithms, model evaluation techniques, and performance metrics is expected. Having familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving skills are essential for this role. Ideally, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field. Experience with deploying ML models using Flask, FastAPI, or Docker is preferred. Knowledge of MLOps and model lifecycle management is an advantage, and understanding of NLP or Computer Vision is a plus.,

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. The 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 Apple's 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 Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

You are an experienced AI/ML Content Developer who will be joining an innovative EdTech team. Your primary responsibility will involve creating cutting-edge educational content in artificial intelligence and machine learning. This includes developing comprehensive courses covering various AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. Your role will be pivotal in shaping how the next generation of AI practitioners learn and apply these transformative technologies. Your key responsibilities will include designing and developing comprehensive courses, content creation in various formats like hands-on labs, interactive exercises, assessments, and project-based learning modules. You will also be structuring learning paths logically from foundational concepts to advanced AI applications. Practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks will be a significant part of your role. Ensuring that all content reflects current AI/ML best practices and industry trends will be crucial. You will be creating practical, real-world scenarios that replicate AI development workflows and challenges. Moreover, developing hands-on projects involving model training, fine-tuning, and deployment to provide learners with portfolio-worthy experience will be essential. Collaboration with the instructional design team to optimize learning outcomes for complex technical concepts is also expected. You will work closely with the platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be part of your responsibilities. Staying current with the latest AI research, tools, and educational methodologies is necessary. Additionally, integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant is also expected. To qualify for this role, you should have at least 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Domain expertise in machine learning algorithms, deep learning architectures, and AI system design is required. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and/or TensorFlow, and expertise in natural language processing techniques are necessary technical skills. Strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating compelling narratives around AI applications and use cases are also essential. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or related fields, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and understanding of accessibility standards in educational content are also desirable.,

As an Advisor, Statistical Analysis at Fiserv, you will utilize your expertise in Computer Science, Data Science, Statistics, Mathematics, or related fields to drive impactful insights. Your responsibilities will involve leveraging your proficiency in Python, SQL, and data science libraries such as pandas, scikit-learn, TensorFlow, and PyTorch to analyze and interpret data effectively. To excel in this role, you should have hands-on experience with big data technologies like Spark, Hadoop, as well as cloud platforms including AWS, GCP, and Azure. Your strong problem-solving skills will be crucial in tackling complex challenges, and your ability to thrive in a dynamic and collaborative work environment will contribute to the success of our team. If you are a forward-thinker with a passion for innovation, and are seeking a rewarding career where you can make a difference, Fiserv is the place for you. Join us in shaping the future of financial technology and unlock your full potential. To apply for this position, please submit your application using your legal name. Complete the step-by-step profile and attach your resume to be considered for this exciting opportunity. We appreciate your interest in becoming part of the Fiserv team. At Fiserv, we are committed to fostering an inclusive and diverse workplace where every individual is valued and respected. We believe that diversity drives innovation and we embrace the unique perspectives and experiences of our employees. Please note that Fiserv does not accept resume submissions from agencies without existing agreements. Kindly refrain from sending resumes to Fiserv associates as we are not liable for any fees related to unsolicited submissions. We also caution applicants to be vigilant against fake job posts that are not affiliated with Fiserv. These fraudulent postings may be used by cybercriminals to obtain personal information or financial data. Any communication from a Fiserv representative will be from a legitimate Fiserv email address to ensure transparency and security throughout the hiring process.,

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

The Consultant role requires 4 to 7 years of work experience and is based in Bangalore/Gurgaon with a Hybrid work mode. The ideal candidate should possess Machine Learning, Python, and Gen AI skills. Additionally, proficiency in Python is preferred, with knowledge of other programming languages like R and Java being a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Familiarity with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures is a significant advantage. Candidates should have experience in developing, testing, and deploying high-quality AI models and solutions and be proficient in data manipulation, cleaning, and analysis. Ability to create clear visualizations using tools like Matplotlib, Seaborn, or Tableau is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions is beneficial. Key Responsibilities include designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences. The role involves analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists is essential to build end-to-end data pipelines and analytical workflows. Interacting with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships is a key aspect of the role. The candidate should be able to communicate complex analyses into actionable insights for both technical and non-technical stakeholders. Continuous learning, staying updated with AI/ML advancements, contributing to research and proposals, and mentoring junior team members are also part of the responsibilities.,

As a Machine Learning Engineer, you will be applying your expertise to help develop a world-leading capability in the domain of machine learning. Your responsibilities will include contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will work on applying machine learning, deep learning, and signal processing techniques on large datasets such as audio, sensors, images, videos, and text to develop models. Additionally, you will be involved in 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 evaluate and validate analyses using statistical methods and present findings in a clear manner to individuals not familiar with data science or computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods, and perform feature engineering to enhance model performance. The required skills for this role include a background and knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with around 5 years of professional work experience in real-world applications. Proficiency in programming languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with knowledge of software engineering concepts like OOP and design patterns, is essential. Familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch is also required. A strong mathematical background with skills in accuracy, significance tests, visualization, and advanced probability concepts is necessary. You should be capable of architecting and implementing end-to-end solutions for accelerating experimentation and model building, as well as possessing knowledge of various machine learning techniques such as clustering, decision tree learning, and artificial neural networks. The ability to conduct both independent and collaborative research, along with excellent written and spoken communication skills, is crucial. Preferred qualifications include a B.E./B.Tech/B.S. degree with 3+ years of experience in the relevant fields or an M.E./M.S./M.Tech/PhD, preferably in Computer Science, with experience in machine learning, image and signal processing, or statistics.,

As a Data Scientist at our groundbreaking digital real estate platform in Dubai, you will play a pivotal role in transforming vast datasets into predictive models and insights that will define our competitive edge. You will have the opportunity to work on challenging problems in the PropTech space and directly influence the user experience and business strategy. Your responsibilities will include designing, training, and deploying machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values. Additionally, you will develop a personalization and recommendation engine, analyze complex datasets to identify business insights and user behavior patterns, and build predictive models for forecasting metrics such as user churn and neighborhood demand dynamics. Collaboration will be key in this role, as you will work closely with backend engineers, product managers, and business stakeholders to leverage data assets and drive personalization, market intelligence, and strategic decision-making across the platform. You will also contribute to the design and development of big data infrastructure and MLOps pipelines. To be successful in this role, you should have 3-5+ years of hands-on experience as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment. A Masters degree or PhD in a quantitative field is required, along with expert proficiency in Python and its data science ecosystem. Strong practical knowledge of various machine learning techniques, advanced SQL skills, and experience with data visualization tools are also essential. Preferred qualifications include experience in the PropTech or FinTech sectors, direct experience building Automated Valuation Models (AVMs), familiarity with cloud-based data platforms and ML services, and experience with MLOps principles and tools. Additionally, experience with time-series analysis, forecasting, and Natural Language Processing (NLP) techniques would be beneficial for this role.,

As a Lead Data Scientist at our company, you will play a crucial role in our AI/ML team by leveraging your deep expertise in Generative AI, large language models (LLMs), and end-to-end ML engineering. Your responsibilities will involve designing and developing intelligent systems using advanced NLP techniques and modern ML practices. You will be a key player in building and optimizing ML pipelines and AI systems across various domains, as well as designing and deploying RAG architectures and intelligent chatbots. Collaboration with cross-functional teams to integrate AI components into scalable applications will be essential, along with providing technical leadership, conducting code reviews, and mentoring junior team members. You will drive experimentation with prompt engineering, agentic workflows, and domain-driven designs, while ensuring best practices in testing, clean architecture, and model reproducibility. To excel in this role, you must possess expertise in AI/ML, including Machine Learning, NLP, Deep Learning, and Generative AI (GenAI). Proficiency in working with the LLM stack, such as GPT, Chatbots, Prompt Engineering, and RAG, is required. Strong programming skills in Python, familiarity with essential libraries like Pandas, NumPy, and Scikit-learn, and experience with architectures like Agentic AI, DDD, TDD, and Hexagonal Architecture are essential. You should be comfortable with tooling and deployment using Terraform, Docker, REST/gRPC APIs, and Git, and have experience working on cloud platforms like AWS, GCP, or Azure. Familiarity with AI coding tools like Copilot, Tabnine, and hands-on experience with distributed training in NVIDIA GPU-enabled environments are necessary. A proven track record of managing the full ML lifecycle from experimentation to deployment is crucial for success in this position. Additionally, experience with vector databases, knowledge of GenAI frameworks like LangChain and LlamaIndex, contributions to open-source GenAI/ML projects, and skills in performance tuning of LLMs and custom models are considered advantageous. If you are passionate about leveraging AI technologies to deliver real-world solutions, we are excited to discuss how you can contribute to our cutting-edge AI/ML team.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,

Schrdinger is a science and technology leader with over 30 years of experience developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses. We are currently looking for an application-focused Materials Informatics & Optoelectronics Scientist to join our team in our mission to enhance human health and quality of life by leveraging advanced computational methods. As a part of our Materials Science team, you will have the opportunity to engage in various projects spanning optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. The ideal candidate for this role will be a statistical and machine learning expert with strong problem-solving abilities. You should also be a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages. Proficiency in Python programming and debugging, along with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch is essential. Additionally, you should have experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies. Collaboration with an interdisciplinary team in a fast-paced environment should be something you enjoy as a specialist in quantum chemistry or materials science. As a Materials Informatics & Optoelectronics Scientist, your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR. You will collaborate with domain experts to ensure data accuracy and quality, particularly related to molecular structures, SMILES strings, and experimental measurements. Developing and validating predictive machine learning models for OLED devices and other optoelectronic applications will be a key aspect of your role. Furthermore, you will be expected to communicate results, present ideas to the team, develop tools and workflows for integration into commercial software products, and validate existing Schrdinger machine learning products using public or internally generated datasets. To qualify for this position, you should hold a PhD in Chemistry or Materials Science and possess hands-on experience in applying machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals. Familiarity with LLM, OCR technologies, and dataset extraction for ML model development is also required.,

The Machine Learning Engineer position at our fast-growing AI/ML startup is ideal for a highly skilled and self-motivated individual with at least 4 years of experience. As a Machine Learning Engineer, you will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. The role requires a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms, translating complex client problems into mathematical models, building data pipelines and automated classification systems, conducting data mining, and applying supervised/unsupervised learning to extract meaningful insights. You will also be responsible for performing Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition, developing and implementing Natural Language Processing (NLP) techniques, extending and customizing ML libraries/frameworks, visualizing analytical findings, developing and integrating APIs, providing technical documentation and support, and staying updated with the latest trends in AI/ML. To qualify for this role, you should have a B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or a related field, a solid understanding of data structures, algorithms, probability, and statistical methods, proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks and libraries, experience with cloud services, a strong grasp of NLP, predictive analytics, and deep learning algorithms, familiarity with big data technologies, expertise in building and deploying scalable AI/ML models, exceptional analytical, problem-solving, and communication skills, and a strong portfolio of applied ML use cases. Joining our team will provide you with the opportunity to work at the forefront of AI innovation, be part of a high-impact team driving AI solutions across industries, enjoy a flexible remote working culture with autonomy and ownership, receive competitive compensation, growth opportunities, and access to cutting-edge technology, and embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch. Apply now to be a part of our innovative and collaborative team!,

The AI & Automation Analyst at SingleStore plays a crucial role within the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. You will be an integral part of the new AI & Automation Center of Excellence, contributing to essential AI and automation solutions. Working collaboratively with various teams including analytics, engineering, business, and IT, you will be involved in designing and implementing initiatives that foster innovation, streamline operations, and enhance data-driven decision making. Your utilization of cutting-edge AI and automation technologies will be instrumental in addressing complex challenges, supporting SingleStore's enterprise digital transformation, and facilitating rapid AI adoption. Your efforts will not only drive immediate business successes but also pave the way for the future enhancement of operational and technical capabilities. In this role, your responsibilities will include engaging with internal stakeholders from different business units and functional departments to gather requirements and translate them into actionable AI and automation initiatives. You will collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identifying and analyzing opportunities for process optimization, business automation, and operational improvement will be a key aspect of your role. You will lead the testing, validation, and iteration of AI and automation projects to ensure their robust performance, accuracy, and scalability in real-world environments. Monitoring implemented solutions, collecting feedback, and driving ongoing improvements while keeping abreast of advancements in AI technologies and best practices will be vital. Maintaining comprehensive technical documentation, preparing regular progress reports, and upholding best practices in data privacy, regulatory compliance, and ethical AI usage are also essential components of this position. **Required Qualifications:** - Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. - Minimum of 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. - Proficiency in at least one programming language (e.g., Python) and experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. - Strong understanding of data analysis, statistical concepts, and data visualization techniques. - Familiarity with data processing tools and platforms (e.g., SQL). - Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. - Experience working in collaborative, cross-functional teams. - Excellent stakeholder communication and expectation management skills. - Eagerness to learn and adapt in a rapidly evolving technical environment. **Preferred Qualifications:** - Experience in SaaS/subscription-based business models. - Familiarity with business systems (e.g., Salesforce, Netsuite). - Hands-on experience integrating AI and Automation into both modern and legacy systems. - Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. **Benefits:** **Company Wide:** - Technology stipend for new employees. - Monthly cell phone and internet stipend. - Health and wellness benefits. - In-office catered lunches (where applicable) and monthly Grubhub credit. - Company and team events. - Flexible time off and volunteer time off. - Stock options. **Country Specific (United States):** - Comprehensive health benefits (medical, dental, vision). - 401(k) retirement plan. As SingleStore has employees in multiple countries, some benefits may vary to ensure equitable perks and benefits across all locations. **About SingleStore:** SingleStore provides a cloud-native database offering speed and scalability to power data-intensive applications worldwide. Their distributed SQL database unifies transactional and analytical workloads, enabling leaders to deliver exceptional, real-time data experiences for customers. SingleStore, headquartered in San Francisco with offices across North America, Europe, and Asia, is venture-backed. **Diversity & Inclusion:** SingleStore is committed to diversity and inclusion, valuing individuals who thrive in diverse teams and bring a broad range of perspectives to the organization.,

You are a highly motivated and experienced AI/ML Developer with a minimum of 2 years of experience. Your primary responsibility will be to design and develop scalable AI/ML models and algorithms. You will collaborate with cross-functional teams to integrate ML solutions into products and analyze large datasets to extract meaningful insights. Continuous monitoring and optimization of existing models for performance improvement will also be part of your role. Staying updated with the latest research and advancements in AI/ML is essential to excel in this challenging and rewarding night shift environment. Your skills should include proven experience in Machine Learning, Deep Learning, and AI projects, proficiency in Python and ML libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. A strong understanding of data structures, algorithms, and statistics is required. Experience with model deployment and MLOps practices will be an added advantage. Excellent problem-solving and analytical skills are crucial for success in this role. As an AI/ML Developer, you will enjoy perks such as free cab facility for pick and drop, the opportunity to work on innovative high-impact projects, and a collaborative team environment. Stay updated with the latest advancements in technologies and contribute effectively to impactful projects in this exciting opportunity.,

You should have at least 5 years of Backend Development experience in Python utilizing RESTful APIs. It is necessary to possess intermediate to advanced level proficiency in Python, along with a solid comprehension of OOP concepts and asynchronous programming. Additionally, you must have a good command over TDD (Test driven development) and hands-on experience using PyTest/Unit test module for mocking third party APIs as part of Unit and Regression tests. Being proficient in Flask/Fast API, SQL Alchemy, and PostgreSQL tech stack is essential. Prior experience in conducting Data/Schema migrations using Alembic will be advantageous. You should also have the capability to debug System/IT service level production issues to identify root causes and implement permanent resolutions to ensure production stability. As a quick learner, you are expected to comprehend requirements effectively in the ModelOps (CI&CD) ecosystem. It is important to observe patterns and draw analogies with existing implementations without feeling overwhelmed by any newly introduced tools/languages during the implementation of functional requirements. Experience with machine learning models leveraging scikit-learn and associated libraries is beneficial. Moreover, exposure to various python frameworks and the ability to evaluate python model performance bottleneck and optimization techniques are essential skills. In terms of secondary skills, understanding NGINX Load Balancers, Istio Service Mesh, and API Gateway is advantageous. Exposure to Pyspark for handling complex data pipelines is also considered a plus.,

You should have a strong understanding of the tech stack including GCP Services such as BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage. Experience with Data Processing tools like Apache Beam (batch/stream), Apache Kafka, and Cloud Dataprep is crucial. Proficiency in programming languages like Python, Java/Scala, and SQL is required. Your expertise should extend to Orchestration tools like Apache Airflow (Cloud Composer) and Terraform, and Security aspects including IAM, Cloud Identity, and Cloud Security Command Center. Knowledge of Containerization using Docker and Kubernetes (GKE) is essential. Familiarity with Machine Learning platforms such as Google AI Platform, TensorFlow, and AutoML is expected. Candidates with certifications like Google Cloud Data Engineer and Cloud Architect are preferred. You should have a proven track record of designing scalable AI/ML systems in production, focusing on high-performance and cost-effective solutions. Strong experience with cloud platforms (Google Cloud, AWS, Azure) and cloud-native AI/ML services like Vertex AI and SageMaker is important. Your role will involve implementing MLOps practices, including model deployment, monitoring, retraining, and version control. Leadership skills are key to guide teams, mentor engineers, and collaborate effectively with cross-functional teams to achieve business objectives. A deep understanding of frameworks like TensorFlow, PyTorch, and Scikit-learn for designing, training, and deploying models is necessary. Experience with data engineering principles, scalable pipelines, and distributed systems (e.g., Apache Kafka, Spark, Kubernetes) is also required. Nice to have requirements include strong leadership and mentorship capabilities to guide teams towards best practices and high-quality deliverables. Excellent problem-solving skills focusing on designing efficient, high-performance systems are valued. Effective project management abilities are necessary to handle multiple initiatives and ensure timely delivery. Collaboration and teamwork are emphasized to foster a positive and productive work environment.,

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

As an experienced Machine Learning Engineer with 5 to 7 years of experience in Pune, you will play a crucial role in developing, training, and fine-tuning Machine Learning models for AI/ML applications. Your responsibilities will include designing and implementing data pipelines for data processing, model training, and inference. You will be tasked with deploying models using MLOps and integrating them with cloud infrastructure. Collaboration with product managers and designers to conceptualize AI-driven features will be an essential part of your role. Additionally, you will be expected to research and implement various ML and AI techniques to improve performance. To excel in this position, you should have proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, and PyTorch. Experience with SQL and ETL data pipelines, including data processing and feature engineering, is required. Familiarity with Docker and container-based deployments for creating cloud-agnostic products is essential. A strong understanding of AI and Machine Learning concepts, including Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning, is crucial. Knowledge of at least one cloud platform (AWS, Azure, GCP) and ML deployment strategies, preferably Azure, is expected. Exposure to LLMs (e.g., OpenAI, Hugging Face, Mistral) and foundation models will be beneficial, along with an understanding of various Statistical models.,

As part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering by assisting clients in designing and developing cutting-edge products, content and commerce platforms, and digital experiences. Our focus lies in leveraging AI, Cloud, and Mobile technologies to create solutions that drive digital transformation through a design-led approach. By combining strategic design, engineering expertise, and industry knowledge, we empower our clients to navigate the digital landscape and accelerate their growth. With our headquarters in Silicon Valley, ACL Digital is a prominent player in design-led digital experiences, innovation, enterprise modernization, and product engineering services tailored for the Technology, Media & Telecom sectors. With over 50,000 employees worldwide and a presence in more than 30 countries, ALTEN Group fosters a multicultural work environment that values collaboration and knowledge sharing. In India, we operate from various locations including 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 potential candidate for the position, you are expected to possess the following technical skills and competencies: - 4-5 years of relevant experience in the field - Preferred training/certification in Data Science/Machine Learning - Ability to collaborate effectively with technical leads - Strong communication skills with the capability to synthesize conclusions - Proficiency in Data Science concepts and Machine Learning algorithms using tools like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Falsk framework, Docker, Virtual Environment, and Database Operations - Strong analytical and problem-solving abilities - Capacity to excel in a dynamic environment with varying degrees of ambiguity Your role will involve the following responsibilities and competencies: - Applying data mining, quantitative analysis, and statistical techniques to conduct experiments and derive meaningful insights from data - Understanding business use-cases and collecting annotated datasets from various sources to address specific problems - Possessing a robust academic background with analytical skills and exposure to machine learning and information retrieval technologies - Strong programming skills, particularly in languages like Python, C/C++ - Extracting data from primary and secondary sources, performing data tagging, filtering, and cleaning based on business requirements - Managing a well-defined, structured, and clean database - Utilizing data labeling tools to annotate data for machine learning models - Analyzing data using statistical techniques, conducting exploratory analysis, and interpreting results effectively If you are someone who thrives in a fast-paced environment, enjoys solving complex problems, and has a passion for leveraging data to drive innovation, we welcome you to explore this opportunity with us. Warm Regards, Komal Narole,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

You will be joining InnovaESI as a ML Engineer/Data Scientist in Bengaluru, in a full-time hybrid role. Your responsibilities will include working on pattern recognition, neural networks, algorithms, and utilizing statistical methods to deliver comprehensive data solutions. While your primary location will be in Bengaluru, there is also flexibility for remote work. To excel in this role, you should have a strong background in Computer Science and Algorithms, proficiency in Pattern Recognition and Neural Networks, knowledge of Statistics and its application in data analysis, as well as experience working with complex algorithms and data models. Collaborating effectively in cross-functional teams and possessing advanced degrees in Computer Science, Data Science, or related fields are also essential qualifications. Additionally, a deep understanding of machine learning and NLP, coupled with commercial experience in building and deploying LLM solutions, will be beneficial. You should have 4-8 years of relevant experience, exceptional coding abilities (preferably in Python), and familiarity with ML tools and libraries like TensorFlow, PyTorch, pandas, scikit-learn, among others. Furthermore, a strong understanding of MLOps best practices with experience in deploying LLM applications to production at scale is required. Being a problem solver and self-starter is key; you should enjoy tackling challenging problems independently and within a collaborative team environment. Strong communication skills to explain complex technical concepts to non-technical stakeholders are also crucial. If you are passionate about leveraging your expertise in ML and data science to drive digital transformation, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,