315 Scikitlearn Jobs - Page 8

You will be responsible for developing machine learning models by designing, building, and evaluating both supervised and unsupervised models like regression, classification, clustering, and recommendation systems. This includes performing feature engineering, model tuning, and validation through cross-validation and various performance metrics. Your duties will also involve preparing and analyzing data by cleaning, preprocessing, and transforming large datasets sourced from different channels. You will conduct exploratory data analysis (EDA) to reveal patterns and gain insights from the data. In addition, you will deploy machine learning models into production using tools like Flask, FastAPI, or cloud-native services. Monitoring model performance and updating or retraining models as necessary will also fall under your purview. Collaboration and communication are key aspects of this role as you will collaborate closely with data engineers, product managers, and business stakeholders to comprehend requirements and provide impactful solutions. Furthermore, presenting findings and model outcomes in a clear and actionable manner will be essential. You will utilize Python and libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch. Additionally, leveraging version control tools like Git, Jupyter notebooks, and ML lifecycle tools such as MLflow and DVC will be part of your daily tasks. The ideal candidate should possess a Bachelor's or Master's degree in computer science, Data Science, Statistics, or a related field. A minimum of 2-3 years of experience in building and deploying machine learning models is preferred. Strong programming skills in Python and familiarity with SQL are required. A solid grasp of ML concepts, model evaluation, statistical techniques, exposure to cloud platforms (AWS, GCP, or Azure), and MLOps practices would be advantageous. Excellent problem-solving and communication skills are also essential for this role.,

As a Machine Learning Engineer, you will be leveraging your expertise to contribute towards the development of cutting-edge capabilities within the realm of machine learning. Your responsibilities will encompass various facets of the software development lifecycle for ML solutions, including design, deployment, testing, maintenance, and enhancement. Your primary duties will involve the application of machine learning, deep learning, and signal processing techniques on extensive datasets comprising audio, sensors, images, videos, and text for model development. You will also play a crucial role in architecting large-scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaborating closely with data scientists/analysts, you will support the development of ML data pipelines, platforms, and infrastructure, along with evaluating and validating analyses using statistical methods. Creating microservices and APIs for serving ML models and services, evaluating new machine learning methods, and implementing feature engineering to enhance model performance will be integral aspects of your role. You are expected to possess a strong background and knowledge of recent advancements in machine learning, deep learning, natural language processing, and image/signal/video processing, backed by approximately 5 years of professional experience in real-world applications. In addition, proficiency in programming, familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch, exceptional mathematical skills, and the ability to architect and implement end-to-end solutions for accelerating experimentation and model building are crucial requirements. An understanding of a variety of machine learning techniques like clustering, decision tree learning, and artificial neural networks, coupled with the capability to conduct independent and collaborative research, is highly valued. Strong written and verbal communication skills are essential for effective collaboration and articulation of ideas. This role offers a dynamic opportunity to contribute to the advancement of ML capabilities and work on challenging projects in a stimulating environment.,

As a Data Scientist specializing in Machine Learning and Artificial Intelligence (ML & AI), your primary responsibility will be to tackle business challenges by leveraging data-driven solutions. Your role will involve collaborating closely with product teams to extract insights from complex data sources and steer the direction of our products based on data-driven recommendations. Being a Subject Matter Expert in data science, you will have a crucial role in shaping our analytics strategy and ensuring that our decisions are well-supported by rigorous data analysis. Your key responsibilities will include: - Problem Solving: Translating intricate business issues into machine learning solutions driven by data. - Model Development: Creating, managing, and designing machine learning and advanced analytics models to generate actionable insights. - Data Analysis: Analyzing data from various sources to maintain integrity, accuracy, and relevance. - Insight Sharing: Communicating findings and insights to stakeholders to facilitate data-driven decision-making. - Subject Matter Expertise: Serving as the go-to expert in the field of data science, offering guidance and knowledge to other teams and stakeholders. - Product Leadership: Influencing product teams with data-based recommendations and ensuring alignment with business objectives by conveying business status, experiment outcomes, and other pertinent insights. Desired Technical Skills: - Proficiency in programming languages such as Python, R, or other relevant data science languages. - Experience working with machine learning libraries like TensorFlow, Keras, Scikit-learn, or similar. - Competence in utilizing data manipulation tools like Pandas, NumPy, or equivalent. In addition to a challenging and rewarding work environment, some of the perks and benefits of this role include: - 5 Days Working - Flexible Timings Please note that we are currently not hiring for the Data Scientist (ML & AI) position. Kindly check back later for any updates on the hiring status.,

Join a fast-paced, innovation-driven environment where you will be building intelligent software systems and receiving direct AI/ML training. This is a unique opportunity for B.Tech graduates who are passionate about programming and eager to work on real-world AI solutions under world-class mentorship. You will be responsible for designing and developing scalable Python-based applications, working closely with the AI team to build and integrate ML models, writing clean, efficient, and maintainable code, participating in architecture and design discussions, debugging, optimizing, and improving existing systems, as well as continuously learning and implementing best practices in software engineering. The required qualifications for this position include a B.Tech degree in Computer Science, IT, or related fields, proficiency in Python, a strong understanding of OOP, data structures, and algorithms, familiarity with databases, REST APIs, and version control systems (e.g., Git), and a bonus for knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Additionally, eagerness to learn and grow in the AI domain, knowledge of networking protocols such as SNMP, ICMP, knowledge of subnetting and IP addressing, and willingness to work full-time on-site in Ahmedabad are also essential. Founded by a Google PhD (California), you will have access to in-house AI/ML training and mentorship, work on live AI projects, experience a high learning curve, and have opportunities for career growth within a smart, ambitious team with a strong technical focus. This is a full-time position located in Ahmedabad, Gujarat, with an experience level of 4 years and education requirement of a B.Tech degree. Benefits include a flexible schedule, health insurance, in-person work location type, and day shift schedule. Application questions will include B.Tech education, and required experience in Python for at least 2 years and total work experience of 3 years, preferably in Ahmedabad, Gujarat.,

As a Data Science/Machine Learning Instructor at our organization, you will be responsible for conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This includes topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. You will collaborate with content teams to develop labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based Data Science/Machine Learning services. Your role will also involve providing support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Additionally, you will mentor learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key aspect of your responsibilities, which includes analyzing learner performance data to enhance modules, introduce new topics like transformers and generative models, and improve assessments. To qualify for this position, you should have a minimum of 3 years of industry or academic experience in Data Science, Machine Learning, or Artificial Intelligence. A Master's degree in Data Science, Machine Learning, Artificial Intelligence, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is preferred. Strong presentation and mentoring skills in live and small-group settings are necessary for this role. Prior experience in teaching or educational technology would be advantageous. If you are passionate about Data Science and Machine Learning and possess the required qualifications and skills, we invite you to join our team as a Data Science/Machine Learning Instructor.,

As an AI/ML Engineer, you will be responsible for identifying, defining, and delivering AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Your role will involve designing, developing, and deploying models using Google Cloud's Vertex AI platform. You will be tasked with fine-tuning and evaluating Large Language Models (LLMs) for domain-specific applications and ensuring responsible AI practices and governance in solution delivery. Collaboration with data engineers and architects is essential to ensure robust and scalable pipelines. It will be your responsibility to document workflows and experiments for reproducibility and handover readiness. Your expertise in supervised, unsupervised, and reinforcement learning will be applied to develop solutions using Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio. In this role, you will work on GenAI workflows, which includes prompt engineering, fine-tuning, and model evaluation. Proficiency in Python is required for developing in ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Effective communication and collaboration across product, data, and business teams are crucial for the success of the projects. The ideal candidate should have hands-on experience with Vertex AI on GCP for model training, deployment, endpoint management, and MLOps. Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source tools is preferred. Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation is necessary. Expertise in ML/GenAI libraries like scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain is expected. Experience with CI/CD for ML, containerization using Docker/Kubernetes, and familiarity with GCP services like BigQuery, Cloud Functions, and Cloud Storage are advantageous. Knowledge of media datasets and real-world ML applications in OTT, DTH, and Web platforms will be beneficial in this role. Qualifications required for this position include a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields. The candidate should have at least 3 years of hands-on experience in ML/AI or GenAI projects. Any relevant certifications in ML, GCP, or GenAI technologies are considered a plus.,

Job Description: As the Digital Transformation Lead at Godrej Agrovet Limited (GAVL) in Mumbai, you will play a crucial role in driving innovation and productivity in the agri-business sector. GAVL is dedicated to enhancing the livelihood of Indian farmers by developing sustainable solutions that enhance crop and livestock yields. With leading market positions in Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry, and Processed Foods, GAVL is committed to making a positive impact on the agricultural industry. With an impressive annual sales figure of 6000 Crore INR in FY 18-19, GAVL has a widespread presence across India, offering high-quality feed and nutrition products for cattle, poultry, aqua feed, and specialty feed. The company operates 50 manufacturing facilities, has a network of 10,000 rural distributors/dealers, and employs over 2500 individuals. At GAVL, our people philosophy revolves around the concept of tough love. We set high expectations for our team members, recognizing and rewarding performance and potential through career growth opportunities. We prioritize the development, mentoring, and training of our employees, understanding that diverse interests and passions contribute to a strong team dynamic. We encourage individuals to explore their full potential and provide a supportive environment for personal and professional growth. In this role, you will utilize your expertise as a Data Scientist to extract insights from complex datasets, develop predictive models, and drive data-driven decisions across the organization. You will collaborate with various teams, including business, engineering, and product, to apply advanced statistical methods, machine learning techniques, and domain knowledge to address real-world challenges. Key Responsibilities: - Data Cleaning, Preprocessing & Exploration: Prepare and analyze data, ensuring quality and completeness by addressing missing values, outliers, and data transformations to identify patterns and anomalies. - Machine Learning Model Development: Build, train, and deploy machine learning models using tools like MLflow on the Databricks platform, exploring regression, classification, clustering, and time series analysis techniques. - Model Evaluation & Deployment: Enhance model performance through feature selection, leveraging distributed computing capabilities for efficient processing, and utilizing CI/CD tools for deployment automation. - Collaboration: Work closely with data engineers, analysts, and stakeholders to understand business requirements and translate them into data-driven solutions. - Data Visualization and Reporting: Create visualizations and dashboards to communicate insights to technical and non-technical audiences using tools like Databricks and Power BI. - Continuous Learning: Stay updated on the latest advancements in data science, machine learning, and industry best practices to enhance skills and processes. Required Technical Skills: - Proficiency in statistical analysis, hypothesis testing, and machine learning techniques. - Familiarity with NLP, time series analysis, computer vision, and A/B testing. - Strong knowledge of Databricks, Spark DataFrames, MLlib, and programming languages (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy). - Proficient in SQL for data extraction, manipulation, and analysis, along with experience in MLflow and cloud data storage tools. Qualifications: - Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field. - Experience: Minimum of 3 years in a data science or analytical role. Join us at Vikhroli, Mumbai, and be a part of our mission to drive digital transformation and innovation in the agricultural sector at Godrej Agrovet Limited.,

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

As a Data Scientist in the Automotive industry, you will be responsible for leveraging your expertise in computer science, Data Science, Statistics, or related fields to drive impactful insights and solutions. With a minimum of 6 years of hands-on experience in data science and analytics, you will bring a deep understanding of various programming tools such as Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch to the table. Your role will involve working with big data tools like Spark, AWS/GCP data pipelines, or similar platforms to extract valuable information from complex datasets. An in-depth understanding of time-series data, signal processing, and Machine Learning for spatiotemporal datasets will be essential for this position. Experience with connected vehicle data or telemetry from trucks/autonomous systems will be highly advantageous in this role. Additionally, familiarity with vehicle dynamics, CAN data decoding, or driver behavior modeling will be considered a plus. Your proficiency in SQL and data visualization tools such as Tableau, PowerBI, Plotly, etc., will enable you to communicate your findings effectively to stakeholders. This position offers a unique opportunity to apply your skills in a remote setting for a contract duration of 12 months. If you are passionate about data science, have a keen eye for detail, and enjoy tackling complex challenges in the Automotive industry, we invite you to apply for this exciting opportunity.,

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. Leveraging AI technology, we discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution. With over 14 years of experience in the industry, we manage 5 million mobile ad requests per second from over 10 billion devices, driving performance for publishers and brands. Headquartered in San Francisco, CA, we have a global presence across the United States, EMEA, and APAC. We are looking for a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will play a key role in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). Collaborating closely with senior research scientists and other team members, you will contribute to impactful data science projects and innovative solutions. This position is based in our Bengaluru, India office and requires on-site presence five days a week. Join us in our mission to push the boundaries of AI and mobile advertising in a collaborative environment that nurtures creativity and growth. We offer a competitive salary, comprehensive benefits, and ample opportunities for career advancement. **Role & Responsibilities:** - Develop and deploy machine learning models at scale to tackle challenges in programmatic advertising like user response prediction, bid landscape forecasting, and fraud detection. - Conduct exploratory data analysis and apply statistical techniques to derive insights and support decision-making. - Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation. - Collaborate with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Assist in establishing best practices for model deployment, monitoring, and performance assessment. - Stay abreast of recent developments in machine learning and data science, applying relevant techniques to solve complex problems and enhance our platform. - Contribute to exploring and adopting new methodologies and technologies to advance our data science capabilities. **Skills & Experience:** - Minimum of six years in data science with practical experience in machine learning, statistical analysis, and data modeling. - Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. Master's degree is a plus. - Additional proficiency in programming languages like Rust, C++, Java, and Scala, as well as large-scale data processing systems is preferred. - Familiarity with RTB, auction theory, and high-throughput low-latency environments is advantageous. - Strong proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and experience with TensorFlow/PyTorch and Scikit-Learn libraries. - Solid understanding of probability, statistics, and data analysis. - Ability to work effectively within a team environment, with excellent communication skills to articulate complex concepts to diverse stakeholders.,

Are you a passionate fresher eager to kickstart your career in Python Development BOL7 Technologies is seeking enthusiastic individuals with a strong foundation in Python, Django, and a curiosity for AI-based technologies. Join our tech team to gain hands-on experience in constructing scalable web applications and AI-driven solutions under the guidance of seasoned developers. Your role will involve developing and maintaining backend applications using Python and Django, as well as integrating user-facing elements with server-side logic. Collaborate with frontend developers to merge APIs and data-driven components while aiding in the creation of AI-based modules for automation, chatbot development, or machine learning-based features. Participate in testing, debugging, and enhancing application performance while closely working with the team to comprehend requirements and deliver quality code. To qualify for this role, you should possess a B.Tech / BCA / MCA / M.Tech or relevant technical qualification with a solid grasp of Python programming fundamentals and practical exposure to the Django framework. An understanding of AI concepts such as machine learning, NLP, chatbot frameworks, OpenAI technologies, and LLM like GPT is beneficial. Familiarity with REST APIs, relational databases like MySQL/PostgreSQL, and strong problem-solving skills are essential. Additionally, willingness to learn new technologies swiftly and residing in or around Noida for daily commute is required. Desired skills include understanding libraries like TensorFlow, OpenCV, scikit-learn, experience with version control tools like Git, and basic knowledge of frontend technologies like HTML, CSS, JavaScript. Join BOL7 for the opportunity to work on live projects from day one, exposure to modern development tools and AI-based technologies, a fast-paced and collaborative environment, continuous learning, mentorship, and career growth prospects in one of Noida's most dynamic tech teams. If you are intrigued by this exciting opportunity, click the "Apply" option above to submit your application directly.,

We are seeking a passionate and motivated Junior Python Data Scientist to join our expanding data team. This position offers an excellent opportunity for recent graduates or individuals with up to one year of experience who are enthusiastic about applying their Python and data analysis skills to real-world challenges. As a Junior Python Data Scientist, you will be involved in meaningful projects focused on data preparation, analysis, and the development of machine learning models, all under the guidance of experienced data scientists. Your responsibilities will include cleaning, transforming, and analyzing data utilizing Python, pandas, and NumPy. You will also play a key role in supporting the development and evaluation of machine learning models using tools such as scikit-learn and TensorFlow. Additionally, you will conduct statistical analyses to extract valuable insights and identify trends, as well as contribute to building data pipelines and automating data processes. Communication of findings and presentation of insights in a clear and concise manner will be an essential part of your role. Collaboration with cross-functional teams, including data engineers, product managers, and software developers, is also a key aspect of this position. The ideal candidate for this role should have at least one year of hands-on experience with Python for data analysis or machine learning. Familiarity with pandas, NumPy, scikit-learn, and TensorFlow is required. A solid understanding of core statistical concepts and basic exploratory data analysis (EDA) is essential. Knowledge of machine learning models such as linear regression, decision trees, or classification algorithms is preferred, and exposure to advanced ML algorithms and Deep Learning is a plus. Strong problem-solving and analytical thinking skills, along with good communication and documentation abilities, are also important qualities we are looking for. A Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field is required, or currently pursuing one. Preferred qualifications include completed coursework, certifications, or personal projects related to ML or Data Science. Exposure to version control (e.g., Git), Jupyter notebooks, or cloud environments is advantageous. We are looking for candidates who are enthusiastic about learning and growing in the data science field.,

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experience, possessing expertise in machine learning (ML) and Large Language Models (LLM) skill set to join our team in Indore, Madhya Pradesh. Roles and Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). Skills: - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. Nice to have experience: - Deep Learning - MLOps - SQL Qualifications: - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,

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

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

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

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

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

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

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

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

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

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

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

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