446 Scikitlearn Jobs

You should have expertise in Full Stack Development, Data Science, and Cybersecurity to create comprehensive training programs. Your strong communication, presentation, and facilitation skills will be essential to engage and teach diverse teams effectively. Additionally, your ability to assess training needs will play a crucial role in designing impactful training sessions. As a Full Stack Developer, you should be proficient in HTML/CSS, JavaScript, React, Node.js, Express, MongoDB, MySQL, and RESTful API. For Data Science tasks, you should have experience with Python, R, SQL, Pandas, Numpy, Scikit-learn, Tableau, and Power BI. As a Cybersecurity Specialist, your skills should include familiarity with Wireshark, Metasploit, Nessus, IDS/IPS, SIEM tools, firewall management, and network traffic analysis. With a minimum of 4 years of experience in the field, you are expected to hold a degree in BE, B.Tech, MCA, M.Sc, B.Sc, or BCA in relevant fields, preferably in Computer Science, Information Technology, or related disciplines.,

As the Analytics and Modeling Manager at Accenture, you will play a crucial role as the Team Lead within the Sales Operations Transformation - Data Analytics, Reporting & Visualization team. Your responsibilities will include leading a cross-functional team of Data Scientists and Visualization experts to drive the design, development, and deployment of data science models and visualization solutions that support sales strategy, performance tracking, and revenue optimization. You will collaborate across functional, technical, and global teams to ensure the alignment of solutions with business needs and drive measurable outcomes. Additionally, you will be responsible for managing project timelines, resource planning, and risk mitigation while upholding high standards of quality and delivery. Your role will also involve serving as a subject matter expert in Sales Operations analytics, providing thought leadership, mentorship, and guidance to technical and non-technical stakeholders. We are seeking a candidate with a strong background in Sales Operations, CRM data, and sales process optimization. The ideal candidate will possess proven experience in data analytics, data science, and business intelligence, as well as a track record in leading teams that deliver advanced statistical models and interactive dashboards. Proficiency in Python (Pandas, NumPy, Scikit-learn), Power Query, Power Pivot, Power BI, SQL, and Microsoft Excel is essential. Excellent stakeholder management, communication skills, and experience working with global, cross-functional teams are highly desired. In this role, you will lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. You will align team objectives with Sales Excellence and Sales Transformation strategy, drive solution design, data strategy, and execution, and oversee solution scalability, reusability, and integration into business processes. Additionally, you will manage, mentor, and grow a high-performing team, provide technical and functional guidance, conduct regular performance reviews, and oversee capacity planning and work allocation. Furthermore, you will collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. You will serve as the client-facing SME for all analytics and visualization needs in the sales domain, ensuring effective communication of findings, models, and visualizations through storytelling. You will also ensure the high-quality delivery of data science models and dashboards, review and validate model outcomes, and encourage best practices in code management, versioning, and model documentation. Moreover, you will ensure data quality, governance, and secure access across platforms. This position requires a candidate with 9+ years of experience and a passion for transformation, strategic thinking, and operational expertise. If you are ready to leverage your skills in analytics, modeling, and leadership to drive sales operations transformation through AI-powered innovation, we invite you to apply for this exciting opportunity at Accenture.,

You will be joining our prestigious insurance company as a highly skilled and experienced AI/ML, Generative AI Lead. In this role, you will be responsible for leading a team of AI/ML professionals to drive the development and implementation of AI and machine learning solutions tailored for the insurance domain. Your contributions will be vital in enhancing operational efficiency, improving customer experience, and innovating new insurance products. Your key responsibilities will include leading, mentoring, and managing a team of AI/ML engineers and data scientists to foster a collaborative and high-performance culture. You will develop and implement AI/ML strategies aligned with the company's business goals, design and deploy AI and machine learning models for various insurance functions, explore generative AI techniques for product development and risk assessment, and oversee data management processes to ensure data quality and integrity. Collaboration with cross-functional teams, staying updated with advancements in AI/ML, ensuring compliance with industry regulations and ethical standards, and implementing monitoring frameworks to assess model performance will also be part of your responsibilities. Additionally, you will lead the development and execution of innovative analytics solutions, collaborate with business stakeholders to establish success metrics, promote the transition of successful Proof-of-Concept projects into production, provide technical guidance to team members, stay informed about emerging technologies in AI/ML and GenAI, and evaluate potential applications and business impact through strategic research. To excel in this role, you should hold a Master's degree in Computer Science, Data Science, Machine Learning, or a related field, with a minimum of 5 years of experience in AI/ML, including at least 3 years in a leadership role. Proficiency in programming languages like Python, R, and Java, experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, cloud technology expertise in Azure, GCP, AWS, domain knowledge in the insurance industry, strong analytical and communication skills, project management experience, and a proven track record in driving innovation in AI/ML and generative AI are essential qualifications.,

As an AI Lead, you will be responsible for driving the development and deployment of cutting-edge AI/ML solutions across the organization. You will collaborate with business stakeholders, data scientists, engineers, and product teams to design scalable, ethical, and impactful AI models. Additionally, you will mentor junior members, guide architectural decisions, and lead AI initiatives from concept to production. Experience in the BFSI sector is mandatory for this role. Key Responsibilities: AI Strategy & Leadership: - Define and execute the AI roadmap aligned with business objectives. - Identify and evaluate AI use cases across business units. - Present solution architectures, POCs, and business impact assessments to leadership. Model Development & Deployment: - Lead the design, development, and deployment of ML/AI models (classification, NLP, computer vision, recommender systems, etc.). - Ensure production-grade model performance, latency, accuracy, and interpretability. - Integrate AI models into existing systems using MLOps best practices. Technical Expertise: - Architect end-to-end ML pipelines: data ingestion, preprocessing, model training, evaluation, and monitoring. - Apply modern AI frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. - Utilize cloud platforms (AWS/GCP/Azure) for scalable AI deployments. Team Management & Mentorship: - Mentor and guide junior data scientists and engineers. - Conduct code reviews, knowledge sharing, and promote AI best practices. - Build a strong AI culture within the team. Stakeholder Engagement: - Collaborate with product, engineering, and business teams to translate requirements into technical solutions. - Communicate AI concepts and ROI to non-technical stakeholders. Required Skills & Qualifications: - Bachelors or Masters in Computer Science, AI/ML, Data Science, or related field. - 8-10 years of experience in data science, machine learning, or AI-focused roles. - Proven experience leading AI projects from design to deployment. - Proficient in Python, SQL, ML libraries (Scikit-learn, XGBoost, LightGBM), and deep learning frameworks (TensorFlow/PyTorch). - Hands-on experience with GenAI, LLMs, or vector databases is a strong plus. - Experience with Docker, Kubernetes, MLflow, Airflow, or similar tools. - Solid understanding of data governance, AI ethics, and model interpretability. Preferred Skills (Good to Have): - Exposure to LLMs, Prompt Engineering, or Agentic AI Frameworks. - Experience in BFSI, fintech, healthcare, or manufacturing domains. - Knowledge of MLOps tools like Kubeflow, SageMaker, or Vertex AI.,

The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI/ML solutions that drive business value across the enterprise. You will be required to be a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions. Your key responsibilities will include leading the design, development, and implementation of GenAI models & agents, overseeing the end-to-end lifecycle of AI/ML projects, developing timelines, milestones, and metrics for effective project planning and execution, ensuring the scalability, reliability, and performance of AI models and analytics platforms, managing and mentoring a team of data scientists and AI/ML engineers, translating complex technical concepts and insights to non-technical stakeholders, supporting and building presentations on GenAI products & solutions for clients and leadership, developing and implementing best practices for AI model development, deployment, and monitoring, and executing the AI and data science roadmap aligned with business goals and digital transformation initiatives. In terms of qualifications, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 8+ years of experience in data science, machine learning, or AI, with at least 3 years in a managerial role. You should also have proven experience deploying AI/ML models in production environments, proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), a strong understanding of MLOps, data engineering pipelines, and cloud platforms (e.g., Azure, AWS), and excellent communication and stakeholder management skills. Preferred Knowledge and Experience include semiconductor industry experience, familiarity with tools like Databricks, Azure ML, and Snowflake, understanding of ERP platforms and experience in enabling AI in business functions like sales, HR, finance, operations, etc., and understanding of AI security and compliance frameworks. Your competencies should include being self-motivated, able to multitask, prioritize, and manage time efficiently, strong problem-solving skills, data analysis skills with the ability to analyze complex data and turn it into actionable information, collaboration and teamwork across multiple functions and stakeholders globally, flexibility and adaptability, process management/improvement, and a drive for results with the ability to work under pressure and meet deadlines. About onsemi: onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, onsemi is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world. For more details about company benefits, visit: https://www.onsemi.com/careers/career-benefits About The Team: The team is committed to sourcing, attracting, and hiring high-performance innovators while providing all candidates with a positive recruitment experience that builds the company's brand as a great place to work.,

As a talented Python with AI/ML Developer at BMC, you will be working on complex and distributed software, playing a key role in designing, developing, and debugging software products. Your primary responsibilities will include implementing features and ensuring product quality for the IZOT product line, which focuses on BMCs Intelligent Z Optimization & Transformation products. You will have the opportunity to work on modernizing mainframe systems for some of the world's largest companies. By leveraging GenAI frameworks, RAG pipelines, and OpenAI Protocol, you will contribute to improving the developer experience, mainframe integration, application development speed, code quality, and application security while reducing operational costs and risks. In this role, you will be expected to design and develop robust Restful APIs and Microservices using Twelve-Factor App and Microservices design patterns. You will also work with AI/ML models hosted both in-house and on cloud platforms for real-time and batch inference. Additionally, you will fine-tune and adapt pre-trained models using machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn to build domain-specific products and drive actionable insights and business outcomes. To excel in this role, you should have 8+ years of experience in application development using Python/Fast API, Java, and RESTful services. A background in computer science, Statistics, Mathematics, Data Science, or related fields is preferred, along with experience in Full Stack Development, frontend development, and machine learning frameworks. Furthermore, familiarity with design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation, and performance at scale will be beneficial. Experience with data engineering, model tracking, serving, container orchestration frameworks, observability tools, and CI/CD environments is also desirable. At BMC, we value continuous learning and growth. If you are passionate about adapting technology to provide business-benefiting solutions and have excellent communication skills, we encourage you to apply. We are committed to attracting talents from diverse backgrounds and experiences to foster innovation and creativity within our team. Join BMC and be a part of a culture that celebrates individuality and values each employee for their unique contributions. Your journey at BMC will be rewarding not only in terms of salary but also through a supportive work environment that encourages personal and professional development. If you are excited about the opportunity to work at BMC but are unsure if you meet all the qualifications, we still encourage you to apply. Your authentic self is what we value the most. Take the first step towards an exciting career at BMC by exploring the possibilities and applying through our website.,

As a Solution Architect specializing in Artificial Intelligence and Machine Learning at Quadrafort in Noida, you will play a crucial role in leading the development and expansion of the AI practice. Your responsibilities will include designing and implementing end-to-end AI and ML solutions, training and deploying machine learning models, providing technical direction for AI projects, and collaborating with various stakeholders to align technology strategies with organizational objectives. Your key responsibilities will involve designing comprehensive AI solutions tailored to meet diverse client needs, ensuring the security, scalability, and performance optimization of solutions, and actively engaging in client interactions, requirement analysis, and solution demonstrations. Additionally, you will be responsible for mentoring team members in AI/ML practices, staying updated on the latest advancements in AI and machine learning, and guiding the team towards successful project outcomes. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, along with a minimum of 7-10 years of professional experience, including at least 4 years in AI/ML model development and deployment. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as programming languages like Python, Java, or similar, is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud, familiarity with MLOps principles, and strong problem-solving skills are also key qualifications required for this position. Preferred qualifications include certifications in cloud platforms, experience with big data technologies like Hadoop and Spark, and previous exposure to client-facing technical leadership roles. By joining Quadrafort, you will have the opportunity to establish and expand a strategic AI/ML practice within a dynamic IT services environment and collaborate on impactful projects across various industries.,

As a Data Engineer at our company, you will be responsible for designing scalable and robust AI/ML systems in production, focusing on high-performance and cost-effective solutions. Your expertise in various technologies, including GCP services like BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage, along with programming languages such as Python, Java/Scala, and SQL, will be crucial for the success of our projects. Additionally, your experience with data processing tools like Apache Beam, Apache Kafka, and Cloud Dataprep, as well as orchestration tools like Apache Airflow and Terraform, will play a significant role in implementing efficient data pipelines. Knowledge of security protocols such as IAM, Cloud Identity, and Cloud Security Command Center, and containerization technologies like Docker and Kubernetes (GKE) will also be essential in ensuring data integrity and system security. Moreover, your familiarity with machine learning platforms like Google AI Platform, TensorFlow, and AutoML will enable you to develop and deploy cutting-edge AI models. Certification in Google Cloud Data Engineer and Cloud Architect is preferred, demonstrating your commitment to continuous learning and professional growth. In this role, you will collaborate with cross-functional teams, mentor engineers, and provide leadership to ensure that our projects meet business objectives. Your ability to implement MLOps practices, deploy models, monitor performance, and manage version control will be critical for the success of our AI/ML initiatives. Furthermore, your deep understanding of frameworks such as TensorFlow, PyTorch, and Scikit-learn, coupled with experience in data engineering principles, scalable pipelines, and distributed systems like Apache Kafka, Spark, and Kubernetes, will be invaluable assets in designing and deploying advanced machine learning models. The ideal candidate will possess strong leadership and mentorship capabilities, problem-solving skills, project management abilities, and a collaborative mindset. By fostering a positive and productive work environment, you will contribute to the success of our team and the timely delivery of high-quality solutions. At our company, you will have the opportunity to work on cutting-edge projects, collaborate with a highly motivated team, and enjoy a competitive salary, flexible schedule, and a comprehensive benefits package. Join us at Grid Dynamics, a leading provider of technology consulting and engineering services, and be part of our journey to solve complex technical challenges and drive positive business outcomes for our clients worldwide.,

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

You have 6-8 years of relevant experience in Data Science and Machine Learning. You should have knowledge of validated approaches for scalability, productionalizing models, and implementing machine learning on expansive and diverse datasets. You must be an experienced user of machine learning and statistical-analysis libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, and Matplotlib. Familiarity with state-of-the-art cloud technologies like AWS, GCP, Kubernetes, and containers is a plus. Your area of expertise should be in forecasting and basics of data engineering. An inquisitive mindset, strong analytical skills for complex problem-solving, and an aptitude for learning systems quickly are required. The required skills for this position include expertise in AI/ML, libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, and Matplotlib, as well as knowledge of cloud technologies like AWS, GCP, and Kubernetes. Our hiring process consists of screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round. This position has been filled.,

As a skilled AI/ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI/ML models and algorithms to enhance business applications. Your role will involve preprocessing and analyzing extensive datasets to derive valuable insights and integrating AI models seamlessly into existing applications, APIs, and cloud platforms. Collaboration with cross-functional teams will be essential to identify AI opportunities and craft effective solutions. Furthermore, you will play a crucial role in optimizing model performance, scalability, and accuracy, ensuring that the solutions meet the highest standards. Your responsibilities will also include staying updated on emerging AI technologies, conducting research, and proposing innovative implementations that align with business objectives. It is imperative that you possess a Bachelor's or Master's degree in Computer Science, IT, Data Science, or a relevant field. Your technical proficiency should encompass a deep understanding of Machine Learning, Deep Learning, and NLP concepts, along with hands-on experience in frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Proficiency in Python (NumPy, Pandas, Matplotlib) and/or R is crucial, along with experience in data preprocessing, model training, and deployment. Familiarity with cloud platforms like AWS, Azure, or Google Cloud will be advantageous, as well as knowledge of APIs, RESTful services, and version control using Git. Strong problem-solving skills, analytical thinking, and effective communication abilities are essential for successful collaboration with both technical and non-technical stakeholders. Your capacity to work independently and within a team environment will be pivotal in delivering high-quality results. This is a full-time position that requires your presence in person at the work location.,

As a Data Scientist/ ML Engineer based in Kolkata, you will be required to have a Bachelor's/Masters/research degree in applied Statistics, Computer Science with a major in Machine Learning, Computational linguistics, or a similar field. You should possess advanced proficiency in Python, Pandas, SQL, Seaborn/Neo4j, scikit-learn, Tensorflow, Keras, Deep Learning, NLP, Bayesian, etc. Your role will involve working closely with data engineers to develop scalable solutions for business needs. Designing and developing new-generation machine learning tools and technologies to provide a critical competitive advantage to the business will be a key responsibility. You will be expected to research and develop statistical learning models for data analysis, collaborate with product management and engineering departments to understand company requirements and propose solutions. Keeping up to date with the latest technology trends, communicating results and ideas to key decision-makers, and implementing new statistical or other mathematical methodologies as needed for specific models or analyses are essential tasks. Your background in data mining and statistical analysis will be valuable, along with your ability to understand various data structures and common methods in data transformation. Excellent pattern recognition and predictive modeling skills are required for this role. You should have a minimum of 5 years of experience in a similar position. If you meet the above requirements and are looking to work on challenging projects in the field of data science and machine learning, please send your application to piu_m@pursuitsoftware.biz.,

The successful candidate will be part of highly productive teams working on implementing core AI algorithms, Cryptography libraries, AI enabled products, and intelligent 3D interfaces. You will work on cutting edge products and technologies in highly challenging domains and will need to have the highest level of commitment and interest to learn new technologies and domain-specific subject matter very quickly. Successful completion of projects will require travel and working in remote locations with customers for extended periods. Your skillset and expertise should include: - Strong software development experience using Python - Strong background in mathematical, numerical, and scientific computing using Python - Knowledge in Artificial Intelligence / Machine learning - Experience working with SCRUM software development methodology - Strong experience with implementing Web services, Web clients, and JSON protocol is required - Experience with Python Meta programming - Strong analytical and problem-solving skills - Design, develop, and debug enterprise-grade software products and systems - Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools - Excellent written and verbal communication skills; Proficiency in English. Verbal communication in Hindi and other local Indian languages - Ability to effectively communicate product design, functionality, and status to management, customers, and other stakeholders - Highest level of integrity and work ethic Frameworks you should be familiar with include: - Scikit-learn - Tensorflow - Keras - OpenCV - Django - CUDA - ReactJS - SVN - Apache Kafka Your mathematics background should cover: - Advanced Calculus - Numerical Analysis - Complex Function Theory - Probability You should be familiar with one or more of the following concepts: - OpenGL-based 3D programming - Cryptography - Artificial Intelligence (AI) Algorithms - Statistical modeling - DNN - RNN - LSTM - GAN - CNN Education Qualification: Bachelor, Master, or PhD degree in Computer Science, Mathematics, Electronics, Information Systems from a reputed university and/or equivalent Knowledge and Skills Location: Hyderabad, Bengaluru, Delhi, If needed Client Locations Please send your resume to hr@meslova.com,

As a Generative AI/ML Python Developer with 3 to 5 years of experience, you will be responsible for building and deploying generative and traditional ML models from ideation and data preparation to production pipelines and performance optimization. Your role will involve solving real problems, handling data end-to-end, navigating the AI development lifecycle, and contributing to model innovation and operational excellence. Your key responsibilities will include engaging in the full AI/ML lifecycle, building and fine-tuning transformer-based LLMs (like GPT, BERT), GANs, diffusion models, and traditional ML models. You will also be involved in data engineering tasks such as cleaning, labeling, preprocessing, augmenting, and versioning datasets. Additionally, you will work on model deployment, MLOps, troubleshooting, optimization, collaboration with cross-functional teams, innovation, research, and documentation. To qualify for this role, you should have a Bachelor's degree in CS, AI, Data Science, or a related field, along with 1-2 years of experience in ML/AI roles. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, and scikit-learn is required. You should have a strong understanding of the AI project lifecycle and MLOps principles, as well as experience in data workflows, Docker, REST APIs, Git, and cloud platforms. Preferred skills for this role include experience with projects involving ChatGPT, LLaMA, Stable Diffusion, or similar models, familiarity with prompt engineering, RAG pipelines, vector DBs, exposure to CI/CD pipelines, ML metadata/versioning, a GitHub portfolio, or publications in generative AI, and awareness of ethics, bias mitigation, privacy, and compliance in AI. This is a full-time position located onsite. If you are a proactive individual with excellent analytical and problem-solving skills, strong communication abilities, and a passion for AI and ML, we encourage you to apply for this role and be a part of our AI/ML team.,

As an experienced AI and Data Scientist Engineer, you will be responsible for designing and implementing data-driven AI solutions that enhance safety, operational efficiency, and compliance within industrial environments. Your role will entail the application of advanced machine learning techniques, data modeling, and analytics to derive actionable insights and foster innovation. Your key responsibilities will include: - Developing and deploying AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. - Implementing computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. - Collecting, preprocessing, and analyzing large datasets from industrial systems and safety processes. - Building predictive models, recommendation systems, and clustering algorithms to address business challenges. - Integrating AI/ML models into existing software systems, AR/VR platforms, and training simulators. - Creating APIs and tools to ensure accessibility of AI capabilities across various platforms. - Crafting intuitive dashboards and visualizations to effectively communicate data insights to stakeholders. - Generating detailed reports outlining analytical findings and model performance. - Exploring new AI technologies and frameworks to enhance safety and operational efficiency. - Conducting feasibility studies for incorporating emerging AI techniques into industrial solutions. - Collaborating closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company objectives. To be successful in this role, you should possess: - 3-7 years of experience in AI, data science, or related fields, with a proven track record of deploying machine learning models in production. - Proficiency in programming languages such as Python, R, or Java, along with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. - Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. - Hands-on experience with supervised, unsupervised, deep learning techniques, and reinforcement learning. Join us in leveraging AI and data science to drive innovation and enhance safety within industrial environments. Your expertise and skills will play a pivotal role in optimizing operational processes and ensuring compliance.,

You will be a Senior Machine Learning Scientist responsible for developing advanced ML solutions to analyze complex biological datasets. Your role will involve designing, implementing, and optimizing machine learning algorithms for various biological data types including genomics, transcriptomics, mass spec, and imaging datasets. You will also be tasked with integrating diverse data types to extract meaningful biological insights. To excel in this role, you need to stay updated with the latest ML methods and their applications in life sciences to propose innovative solutions. Collaboration with bioinformaticians, data scientists, and domain experts is essential to ensure seamless integration of ML models into workflows. Additionally, you will optimize and deploy ML models on cloud platforms for scalable analysis and contribute to preprocessing, feature engineering, and quality control of large biological datasets. The ideal candidate should hold a Masters or Bachelors degree with 3-4 years of experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or related fields. A solid understanding of machine learning algorithms, statistical methods, and proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn is required. Strong problem-solving skills and the ability to interpret complex biological data are essential. Excellent communication and interpersonal skills are necessary to work effectively in a collaborative environment. Experience with biological datasets, cloud technologies (AWS, GCP, Azure), and scalable computing platforms is preferred. Additionally, familiarity with biomedical ontologies, pathway analysis, or systems biology approaches, as well as a strong publication record in ML or bioinformatics journals, would be advantageous for this role.,

We are searching for a passionate and inquisitive AI/ML Developer to become a part of our team. Whether you are a fresher with a solid foundation or a developer with a few years of experience in constructing intelligent systems, this position presents an opportunity to engage in the development of thrilling machine learning and data-driven solutions. Your responsibilities will include the development, training, and deployment of machine learning models, handling large datasets, and collaborating with product and engineering teams to translate data into tangible real-world outcomes. Key Responsibilities: - Build, train, assess, and deploy machine learning models for practical applications - Work with structured and unstructured data, carrying out data preprocessing, cleaning, and transformation - Devise and implement pipelines for data ingestion and model training - Cooperate with software developers, data engineers, and domain experts to embed AI/ML solutions into products - Explore and experiment with novel algorithms and methodologies to address business challenges - Monitor model performance in production and continuously enhance them - Present insights, models, and solutions clearly to both technical and non-technical stakeholders - Maintain clear documentation and adhere to best practices in coding and versioning Required Skills & Qualifications: - 15 years of hands-on experience or academic projects in Machine Learning or Artificial Intelligence - Proficient programming skills in Python (preferred) or R, utilizing libraries like scikit-learn, TensorFlow, PyTorch, or Keras - Sound comprehension of ML concepts including supervised/unsupervised learning, feature engineering, and model evaluation - Proficiency in data handling tools such as Pandas, NumPy, and SQL - Familiarity with NLP, Computer Vision, or Deep Learning techniques is advantageous - Understanding of REST APIs and integration of ML models into web applications - Experience with version control tools like Git - Exposure to cloud platforms like AWS, Azure, or Google Cloud is beneficial - Strong problem-solving, critical thinking, and communication abilities - Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field We Offer: - 5 Day Working - Paid Leave - All Leave Encashment - Health Insurance - Festival Celebration - Employee Engagement - Great Work Space - Annual Picnic Our Mission: At ARK Infosoft, our mission is to empower businesses to grow by providing them with personalized IT solutions. We achieve this by leveraging the latest technologies, prioritizing our customers, and continuously seeking innovative ways to improve. Our goal is to be the most trusted partner in our clients journey towards digital advancement. We are dedicated to excellence, integrity, and social responsibility, aiming to create lasting value for our clients, employees, and communities. We are committed to ensuring a sustainable and prosperous future for all. Our Vision: Our vision is to establish ARK Infosoft as a leading IT company renowned for delivering creative solutions that help businesses succeed in todays digital world. We aim to be the go-to partner for all their IT needs, fostering growth and prosperity in every industry we serve. By prioritizing innovation, collaboration, and sustainability, we envision a future where technology empowers businesses to reach their full potential. We strive to drive positive global impact, shaping a brighter tomorrow by enabling businesses to thrive in the digital age.,

You are a resilient, forward-thinking Python Developer with expertise in AI and Machine Learning deployment, interested in joining our growing technology team as a Python with AI/ML Developer. Your role will involve building, deploying, and maintaining scalable ML models and backend systems to support AI-driven products. To excel in this position, you must have a passion for innovation, attention to detail, and the ability to solve complex problems with effective technical solutions. Your responsibilities will include developing, testing, and deploying machine learning models using Python and AI frameworks such as TensorFlow, PyTorch, and scikit-learn. You will collaborate with data scientists, product teams, and engineers to transition prototypes into production-ready systems. Additionally, you will build and manage APIs and backend services using frameworks like Flask and FastAPI, deploy ML models in cloud or on-prem environments using Docker, Kubernetes, and CI/CD pipelines, and optimize model performance post-deployment. As a successful candidate, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field and have at least 2 years of experience in Python development with a focus on AI/ML projects. You must possess strong knowledge of ML/AI tools and frameworks, experience deploying and maintaining ML models in production environments, proficiency in containerization and orchestration tools, and familiarity with REST APIs and microservice architecture. Knowledge of cloud platforms, problem-solving skills, and a proactive, team-oriented mindset are essential for this role. Preferred skills include experience with data streaming platforms, familiarity with MLOps tools, exposure to computer vision, NLP, or deep learning projects, knowledge of database systems, experience with interactive dashboard tools, and contributions to open-source AI/ML projects or Kaggle competitions. Staying current with the latest research and best practices in AI, ML, and MLOps, as well as documenting technical architecture and best practices are crucial aspects of this role. Troubleshooting and resolving issues related to ML model performance, deployment, and data pipelines will also be part of your responsibilities.,

As an AI & Process Automation Expert based in Bangalore, you will be responsible for leveraging your expertise in AI and ML to develop and deploy cutting-edge solutions. With a minimum of 12 years of experience in AI/ML, you will demonstrate proficiency in Python (preferred), R, or similar languages. Your expertise with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn will be key in driving innovation. Your knowledge of NLP will be crucial for email automation, document parsing, and chatbot development. Additionally, your experience with predictive analytics will contribute to workflow optimization and decision-making processes. In the realm of Automation & Process Integration, you will showcase strong hands-on experience with RPA tools like UiPath, Automation Anywhere, Blue Prism, or Power Automate. Your ability to seamlessly integrate AI models with ERP/CRM systems, internal databases, and APIs will be essential. You will design workflows for back-office processes such as reporting, reconciliation, compliance checks, and customer support queries, utilizing process mapping and optimization methodologies like Lean and Six Sigma. In the domain of Data Engineering & Cloud, your expertise in ETL processes and data pipelines will be valuable. Hands-on experience with cloud platforms such as AWS, Azure, and GCP for hosting automation solutions is expected. Your understanding of databases (SQL/NoSQL) for process automation and data storage will be utilized effectively. Your soft skills, including strong problem-solving abilities and process analysis skills, will be instrumental in your role. Clear communication skills will be necessary to coordinate between tech and operations teams. Your ability to work independently and identify automation opportunities proactively will set you apart as a valuable team member. If you are an immediate joiner with the required skills and qualifications, we encourage you to reach out to us at 7034217102 or via email at Sandra@adityatrading.com.,

As an AI, ML & Automation Instructor/Trainer located in Chennai, Tamil Nadu, you will be responsible for designing and delivering comprehensive training programs ranging from beginner to advanced levels. Your role will involve mentoring learners and instructors, leading workshops, and creating scalable curriculum assets for global reach. Your key responsibilities will include designing multi-level AI/ML/Automation training tracks and resources, conducting engaging virtual and in-person training sessions, guiding instructors, organizing train-the-trainer programs, and ensuring the quality of training content. Additionally, you will be tasked with customizing training programs for corporate and academic clients while fostering community engagement through various events, blogs, and meetups. The ideal candidate for this position should possess a minimum of 5 years of experience in AI/ML/Automation with hands-on project experience. A strong teaching background in bootcamps, universities, or corporate settings is essential. Proficiency in Python, ML libraries such as scikit-learn, PyTorch, TensorFlow, and RPA tools like UiPath and Automation Anywhere is required. You should be a data-driven educator with a deep passion for cutting-edge AI technologies and impactful learning, along with excellent collaboration and mentoring skills. Preferred skills for this role include certifications in adult learning, knowledge of MLOps, experience with cloud AI tools and Big Data, as well as a track record of community contributions through open-source projects, blogs, or public speaking engagements. In return, we offer a full-time position with benefits such as Provident Fund, along with opportunities for continuous learning and professional development. This role provides a high-impact opportunity to shape the future of AI education and contribute to the next wave of AI educators.,

You are an experienced and results-driven Sr. Data Scientist with over 5 years of professional experience, looking to join our dynamic data team. Your main responsibilities will include analyzing large datasets, building predictive models, and providing actionable insights to drive strategic decision-making. This role offers an exciting opportunity to apply your expertise in machine learning, statistical analysis, and business intelligence in a fast-paced environment. Your key responsibilities will involve extracting insights and building models to understand and predict key metrics. You will collaborate closely with stakeholders to identify business challenges and translate them into data science problems. Additionally, you will collect, clean, and preprocess structured and unstructured data from various sources, focusing on research analysis and model development. Validating and deploying machine learning models to solve real-world business problems will be a crucial part of your role. To excel in this position, you should possess a Bachelor's or Master's degree in computer science, Data Science, Statistics, Mathematics, or a related field. Along with at least 5 years of experience in a data science or machine learning role, you should have strong proficiency in Python (including PySpark, pandas, scikit-learn, TensorFlow/PyTorch) and expertise in MLflow for model tracking and deployment. Familiarity with Databricks for scalable ML workflows and handling data issues is essential. Your skill set should also include solid SQL skills, experience working with large databases, and a good understanding of statistical modeling, A/B testing, and predictive analytics. Knowledge of supervised/unsupervised learning, deep learning, and optimization techniques is important. Experience with A/B testing, model performance monitoring, cloud platforms (AWS, GCP, or Azure), and MLOps will be advantageous. In addition, you should have excellent problem-solving skills, strong communication abilities, and meticulous attention to detail. Experience deploying models to production using CI/CD pipelines is desired. Preferred skills that would be advantageous for this role include experience with MosaicML, Azure ML, AWS Sagemaker, and a background in the Healthcare Industry. This position offers perks such as flexible timings, a 5-day workweek, a healthy work environment, opportunities for learning and growth, community building, and medical insurance benefits.,

You should have 5 to 7 years of experience in Data Science or Machine Learning roles. Your proven ability should cover working on end-to-end ML projects, from research to production. It is essential to conduct in-depth machine learning research and stay updated with state-of-the-art advancements, including reading, interpreting, and implementing research papers, especially in the Generative AI domain. Your responsibilities will also include mentoring and guiding junior data scientists and interns in executing real-world projects. You should be able to design and build machine learning and deep learning models to solve complex business challenges. Working collaboratively across teams to turn data into decisions and models into products is a crucial aspect of the role. Having a strong foundation in Statistics and Probability is essential. You should also possess advanced proficiency in Python for data science and ML workflows. Hands-on experience with key libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch is required. Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, and SVMs is expected. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) is a plus. Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications will be beneficial. Your ability to turn theoretical models into production-ready code with clarity and precision is highly valued in this role.,

We are seeking a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. Your primary responsibility will involve building and deploying advanced predictive models to influence key business decisions. To excel in this role, you should possess a strong background in machine learning, data engineering, and cloud environments, with a particular emphasis on AWS. Your main tasks will include collaborating with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This position offers an excellent opportunity to work on impactful AI/ML solutions within a dynamic and innovative team environment. Your key responsibilities will encompass predictive modeling and machine learning, data engineering and cloud computing, Python programming, as well as collaboration and communication with various teams. Additionally, having experience in the utility industry, generative AI technologies, and geospatial data and GIS tools would be advantageous. To qualify for this position, you should hold a Master's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 5 years of relevant experience in data science, predictive modeling, and machine learning. Previous experience working in cloud-based data science environments, preferably AWS, would be beneficial.,

The role of Senior AI Professional at our organization requires a highly skilled individual who can work independently and lead AI projects from start to finish. You should have a broad experience with various AI tools, frameworks, and applications, and be comfortable in a fast-paced, innovation-driven setting. Your responsibilities will include designing, developing, and implementing AI solutions across different domains. You will manage AI projects independently, integrating tools such as NLP, Computer Vision, Generative AI, Predictive Analytics, Reinforcement Learning, and Recommendation Systems. Collaboration with cross-functional teams for data preparation, model development, testing, and deployment is essential. Staying updated with emerging AI technologies and optimizing models for performance, scalability, and cost efficiency are key aspects of the role. Additionally, documenting processes, models, and workflows for knowledge sharing within the team is crucial. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field, along with at least 5 years of hands-on experience in AI/ML development. Proficiency in Python and major AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI API, and LangChain is necessary. Experience in multiple AI domains including Natural Language Processing (NLP), Computer Vision, Generative AI (text, image, audio, video), Predictive Analytics & Forecasting, and Reinforcement Learning is required. You should possess strong skills in data preprocessing, feature engineering, model optimization, and familiarity with cloud AI platforms (AWS, Azure, GCP) and MLOps practices. Excellent problem-solving and communication abilities are essential for this role, along with the capacity to work independently with minimal supervision. Preference will be given to candidates based in Gurugram or Delhi, with prior experience in leading AI projects from scratch and exposure to AI integration in enterprise environments.,

You will be part of the AI squad within the CDO office of the bank, playing a critical role in driving AI adoption and enablement across the bank's functions. Your main responsibility will be to deploy as a member of the functional AI Squads. Your key responsibilities include: Strategy: - Delivering, building, and maintaining solutions for AI use cases and enhancing functionalities of AI tools within the bank. Business: - Accelerate the delivery of AI use cases for various Business & Functions of the bank. - Responsible for implementing product roadmaps, product improvement, building applications with modern architecture design, RESTful web services / APIs, web-based application enhancements for processing large data volumes and real-time streaming, and product deployment with appropriate SDF controls. - Supporting applications in production, analyzing and resolving issues, performing RCA analysis, and implementing solutions. - Acting as a technical subject matter expert and go-to person for all technical requirements within your team. Risk Management: - Adhering to all SDF controls and Data Governance Standards of the bank. Governance: - Developing and implementing change management plans for successful adoption of AI solutions across the organization. - Providing training and support to business users to help them understand and leverage AI tools and technologies. - Fostering a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. Regulatory & Business Conduct: - Displaying exemplary conduct and living by the Groups Values and Code of Conduct. - Taking personal responsibility for embedding the highest standards of ethics, regulatory and business conduct across Standard Chartered Bank. - Collaboratively identifying, escalating, mitigating, and resolving risk, conduct, and compliance matters. Key stakeholders include CDO Squads, Business Partners, ITO, internal staff, clients, and 3rd parties. Other responsibilities include embedding Here for good and Groups brand and values, performing other assigned responsibilities under Group, Country, Business, or Functional policies and procedures, identifying and prioritizing AI use cases with significant business value, and developing business cases for AI projects. You are expected to have skills and experience in building and deploying machine learning models, implementing Generative AI solutions, mentoring and guiding a team of machine learning engineers and data scientists, optimizing feature engineering and model tuning, and driving the adoption of advanced ML algorithms. Qualifications: - Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for building and deploying production-grade machine learning models. - Training in usage and development of LLMs and proficiency in Prompt Engineering. - Language proficiency in English. Standard Chartered is an international bank that values difference, advocates inclusion, and aims to drive commerce and prosperity through unique diversity. They offer core bank funding for retirement savings, medical and life insurance, time-off benefits, flexible working options, proactive wellbeing support, a continuous learning culture, and the opportunity to be part of an inclusive and values-driven organization. If you are looking for a purpose-driven career and want to work for a bank that makes a difference, Standard Chartered welcomes your unique talents and is excited to see what you can bring to the team.,