27 Jupyter Notebooks Jobs

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.,

As an Analytics and Modeling Analyst at Accenture, you will be part of our growing Insights and Analytics team. You will be responsible for developing and implementing machine learning models using supervised and unsupervised techniques. Your role will involve applying appropriate machine learning algorithms for prediction tasks and data segmentation based on project requirements. Additionally, you will perform data preprocessing, feature engineering, and model evaluation to ensure the accuracy and efficiency of the models. The ideal candidate for this position should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 2 to 3 years of experience in applied machine learning and data science projects. You should have a solid understanding of model training, validation, and deployment workflows, as well as experience working with version control and collaborative development environments. Familiarity with tools that automate and manage the process of building, testing, and deploying machine learning models, as well as a basic understanding of cloud-based architecture and APIs, would be beneficial. In this role, you will collaborate with data engineers, analysts, and product teams to translate business problems into machine learning solutions. You will use Python libraries such as scikit-learn, TensorFlow, and others to build and test models, and analyze and manipulate structured datasets using notebooks like Jupyter. Your responsibilities will also include documenting model performance, data flows, and process pipelines to ensure transparency and reproducibility of the work. If you are a Machine Learning Data Scientist with a passion for building ML models using cutting-edge techniques and technologies, we invite you to join our team at Accenture and contribute to creating value and shared success for our clients, people, and communities.,

As a Data Engineer with 6-9 years of experience, your role will be based in Pune. You should have a minimum of 5 years of experience as a Data Engineer, along with hands-on expertise in Star/Snowflake schema design, data modeling, data pipelining, and MLOps. Your proficiency in Data Warehouse technologies like Snowflake, AWS Redshift, and AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.) will be crucial. Strong skills in SQL and at least one major programming language (Python/Java) are required. Additionally, you should be experienced with Data Analysis Tools such as Looker or Tableau, and have familiarity with Pandas, Numpy, Scikit-learn, and Jupyter notebooks. Knowledge of Git, GitHub, and JIRA is preferred. Your ability to identify and resolve data quality issues, provide end-to-end data platform support, and work effectively as an individual contributor is essential. In this role, you will need to possess strong analytical and problem-solving skills, with meticulous attention to detail. A positive mindset, can-do attitude, and a focus on simplifying tasks and building reusable components will be highly valued. You should be able to assess the suitability of new technologies for solving business problems and establish strong relationships with various stakeholders. Your responsibilities will involve designing, developing, and maintaining an accurate, secure, available, and fast data platform. You will engineer efficient, adaptable, and scalable data pipelines, integrate various data sources, create standardized datasets, and ensure product changes align well with the data platform. Collaborating with cross-functional teams, understanding their challenges, and providing data-driven solutions will be key aspects of your role. Overall, your technical skills, including expertise in data engineering, schema design, data modeling, and data warehousing, will play a vital role in driving the success of the data platform and meeting the goals of the organization.,

The job is based in Vadodara and is available as a Full-time position or as an Internship with a minimum duration of 3 months. The stipend/CTC offered will depend on the experience and role of the applicant. Gururo is a leading organization that focuses on providing practical, career-transforming education. The mission of Gururo is to empower professionals and students by imparting real-world skills, particularly in project management, leadership development, and emerging technologies. By joining the team at Gururo, you will be part of a fast-paced, mission-driven environment where you will work on AI/ML-powered platforms that have a global impact. Applicants for this position can fall into one of the following categories: - Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields with a strong passion for AI/ML. - Freshers: Individuals with 0-1 years of experience, having academic or internship exposure to machine learning projects. - Experienced Professionals: Individuals with over 1 year of hands-on experience in AI/ML roles, along with a demonstrated portfolio or contributions on GitHub. Key Responsibilities: - Design and develop machine learning models and AI systems for real-world applications. - Clean, preprocess, and analyze large datasets using Python and relevant libraries. - Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch. - Work on NLP, Computer Vision, or Recommendation Systems based on project requirements. - Evaluate models using appropriate metrics and fine-tune for optimal performance. - Collaborate with product, engineering, and design teams to integrate AI into platforms. - Maintain documentation, participate in model audits, and ensure ethical AI practices. - Utilize version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases). Must-Have Skills: - Strong proficiency in Python programming. - Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch). - Good understanding of core ML algorithms (classification, regression, clustering, etc.). - Familiarity with data wrangling libraries (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn). - Experience working with Jupyter Notebooks and version control systems (Git). - Basic understanding of model evaluation techniques and metrics. Good to Have (Optional): - Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs). - Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.). - Familiarity with Docker, APIs, and ML model deployment workflows. - Knowledge of MLOps tools and CI/CD for AI systems. - Kaggle profile, published papers, or open-source contributions. What You'll Gain: - Opportunity to work on real-world AI/ML challenges in the rapidly growing EdTech sector. - Learning from experienced data scientists and engineers in a mentorship-driven setting. - Certificate of Internship/Experience & Letter of Recommendation (for interns). - Opportunities to lead research-driven AI initiatives at scale. - Flexible work hours and chances for growth based on performance. - Comprehensive exposure - from data collection to model deployment in production.,

This is a key position that will play a pivotal role in creating data-driven technology solutions to establish our client as a leader in healthcare, financial, and clinical administration. As the Lead Data Scientist, you will be instrumental in building and implementing machine learning models and predictive analytics solutions that will spearhead the new era of AI-driven innovation in the healthcare industry. Your responsibilities will involve developing and implementing a variety of ML/AI products, from conceptualization to production, to help the organization gain a competitive edge in the market. Working closely with the Director of Data Science, you will operate at the crossroads of healthcare, finance, and cutting-edge data science to tackle some of the most intricate challenges faced by the industry. This role presents a unique opportunity within VHT's Product Transformation division to create pioneering machine learning capabilities from scratch. You will have the chance to shape the future of VHT's data science & analytics foundation, utilizing state-of-the-art tools and methodologies within a collaborative and innovation-focused environment. Key Responsibilities: - Lead the development of predictive machine learning models for Revenue Cycle Management analytics, focusing on areas such as: - Claim Denials Prediction: identifying high-risk claims before submission - Cash Flow Forecasting: predicting revenue timing and patterns - Patient-Related Models: enhancing patient financial experience and outcomes - Claim Processing Time Prediction: optimizing workflow and resource allocation - Explore emerging areas and integration opportunities, e.g., denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. VHT Technical Environment: - Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) - Development Tools: Jupyter Notebooks, Git, Docker - Programming: Python, SQL, R (optional) - ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow - Data Processing: Spark, Pandas, NumPy - Visualization: Matplotlib, Seaborn, Plotly, Tableau Required Qualifications: - Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - 5+ years of hands-on data science experience with a proven track record of deploying ML models to production - Expert-level proficiency in SQL and Python, with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) - Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) - Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques - Experience with model deployment, monitoring, and MLOps practices - Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications: - US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management - Experience with healthcare data standards (HL7, FHIR, X12 EDI) - Knowledge of healthcare regulations (HIPAA, compliance requirements) - Experience with deep learning frameworks (TensorFlow, PyTorch) - Familiarity with real-time streaming data processing - Previous leadership or mentoring experience,

As a Portfolio Data Analyst at Addepar, you will play a crucial role in integrating client portfolio data into our leading portfolio management products. Your responsibilities will include analyzing and onboarding portfolio data from various sources, partnering with internal teams to deliver high-quality data solutions, and working with 3rd party data providers to support data integration into our platform. You will collaborate with engineering, product management, and data operations to ensure timely and reliable data solutions that meet client needs. Your role will involve developing data aggregations and functionality based on user workflow needs, as well as working on initiatives to improve overall data management and integration. You will also contribute to the evolution of Addepar's financial concordance solutions to better serve clients in wealth management and beyond. To excel in this role, you should have a minimum of 3+ years of experience working with financial data and concepts relevant to Addepar's clients and products, particularly in wealth management and portfolio management. Technical skills in tools like Excel, SQL, Python, pyspark, Databricks, or other financial services systems are preferred. Strong communication and interpersonal skills are essential for working effectively with vendors, clients, and internal partners. This position requires you to work from Addepar's Pune office three days a week as part of a hybrid work model. Addepar values a diverse and inclusive workplace, where individuals from different backgrounds and identities come together to drive innovative solutions. As an equal opportunity employer, Addepar is committed to promoting a welcoming environment where inclusion and belonging are shared responsibilities. If you are passionate about finance and technology, enjoy solving complex problems in investment management, and have experience in data analysis workflows and tools, this role offers you the opportunity to build on your existing expertise in the investment domain.,

You should be highly proficient in Microsoft Sentinel and Azure Log Analytics, with at least 5-8 years of experience. You will be responsible for connecting any type of logs from various sources to Sentinel Log Analytic work space. Your role will involve creating playbook analytic rule workbooks, notebooks, incidents, and threat hunting. Additionally, you should have experience in developing KQL queries for data normalization and parsing capability for Log Analytics data ingestion pipeline. As part of your responsibilities, you will automate and integrate developed use cases into DevOps CI/CD pipeline and develop incident response capabilities using Azure Logic Apps. You should also be able to develop Jupyter notebooks using scripts in Python and integrate them with Microsoft Sentinel. Knowledge of different Microsoft Defender products, implementation and integration of defender for cloud services, as well as experience in cloud computing and cloud security roles are required. The ideal candidate should have a minimum of 5 years of experience in Microsoft Sentinel and Azure log analytics, with a strong background in developing Kusto Query Language. Experience in SIEM and SOAR implementation, along with working on automation scripts, will be beneficial for this role. The position is based in Mumbai, Pune, Chennai, Hyderabad, Bangalore, Kolkata, Delhi, or Coimbatore.,

Key Responsibilities: Customer Success Leadership: Serve as a trusted advisor to customers, influencing their outcomes and accelerating Data Cloud & Agentforce consumption. Strategic Engagement: Partner with strategic customers to understand their business and technical goals, and create tailored plans to drive adoption and ROI. Cross-functional Collaboration: Work closely with sales, product, engineering, and support teams to ensure a seamless customer experience. Onboarding & Enablement: Lead customer onboarding, ensure successful go-lives, and guide continuous consumption post-sale, ensuring full integration of Data Cloud & Agentforce into their operations. Value Realization: Develop and execute strategies that deliver business value, helping customers achieve their goals while driving scalable consumption and growth. Technical Guidance: Provide deep product expertise to customers, including hands-on guidance on Data Cloud & Agentforce architecture and best practices. Risk Mitigation & Problem Resolution: Proactively identify and address potential risks, working with customers and internal teams to mitigate challenges and keep projects on track. Executive Relationships: Build strong, long-lasting relationships with customer executives and key decision-makers to ensure sustained success and value from the Salesforce platform. Feedback Loop: Collaborate with Salesforce Product teams to provide customer feedback, advocate for product improvements, and contribute to future feature development. Required Experience and Skills: Experience: 7+ years in customer-facing roles involving Data, AI, Analytics, and CRM solutions, with a proven track record in guiding customers to success. Technical Expertise: Strong technical background with hands-on experience in CRM, Data Architecture, and AI/ML technologies. Expertise in Salesforce platforms (Admin, Advanced Admin), marketing tools (Salesforce Marketing Cloud), and modern cloud data platforms (Snowflake, Databricks, BigQuery, RedShift). AI & ML Knowledge: Experience with machine learning, AI concepts (both predictive and generative AI), and communicating technical concepts effectively to both technical and non-technical audiences. Industry Expertise: In-depth understanding of industry-specific use cases, integration patterns, and how to leverage data architecture to deliver business value. C-Level Communication: Proven ability to influence and communicate effectively with senior executives, guiding difficult conversations and driving action. Proactive & Independent: A self-starter who thrives in an autonomous role, with the ability to manage tasks independently while collaborating with remote teams and customers. Data Ethics & Privacy: Commitment to upholding data security, privacy, and ethical standards while ensuring customers comply with relevant regulations. Facilitation Skills: Expertise in facilitating workshops, whiteboarding sessions, and discovery conversations that uncover customer needs and drive innovative solutions. Technical Abilities: Salesforce Platform Knowledge: In-depth knowledge of Salesforce's cloud solutions and hands-on experience with Salesforce Clouds, including Data Cloud and Agentforce. Data Architecture & Analytics Tools: Experience with modern cloud data platforms (e.g., Snowflake, Databricks), analytics tools (e.g., Tableau, Looker, Power BI), and programming frameworks (e.g., Python, R, Jupyter Notebooks). Machine Learning & AI Expertise: Hands-on experience with machine learning frameworks, including predictive and generative AI models, and the ability to integrate these into customer solutions. Emerging Technologies: Passion for exploring and experimenting with new AI technologies, including large language models (LLMs) and agent-based systems. Preferred Qualifications: Hands-on experience in building and deploying 0-1 products at startups or large companies. Advanced certifications in Salesforce or related technologies. Strong network within the Salesforce ecosystem and industry-specific knowledge.

As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

We are looking for a passionate and self-motivated AI Intern to join our team at ARK Infosoft. This internship opportunity is perfect for fresh graduates or final-year students who are enthusiastic about applying their knowledge of Artificial Intelligence, Machine Learning, and Data Science to real-world projects. As an AI Intern, you will have the chance to collaborate closely with senior developers and data scientists on a variety of AI-driven applications and innovations. Your responsibilities will include assisting in the design, development, and testing of machine learning models, as well as collecting, cleaning, and preprocessing datasets. Additionally, you will be involved in supporting the implementation of AI models into existing systems or proof-of-concepts, conducting literature reviews, and documenting technical research findings. Collaboration with cross-functional teams on various AI and software projects is also a key aspect of this role, along with staying up-to-date with the latest AI tools, libraries, and research. The ideal candidate should have a basic understanding of AI/ML concepts, algorithms, and applications, along with familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills, good communication abilities, and a willingness to learn and take initiative are essential for success in this position. Preferred qualifications that would be nice to have include knowledge of deep learning, NLP, or computer vision, experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS), and participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. Joining our team at ARK Infosoft, you can look forward to a supportive work environment with benefits such as 5-day working week, paid leave, all leave encashment, health insurance, festival celebrations, employee engagement activities, great workspace, and an annual picnic. Our mission at ARK Infosoft is to empower businesses to grow by providing personalized IT solutions through leveraging the latest technologies, prioritizing our customers, and continually seeking innovative ways to improve. We strive to be the most trusted partner in our clients" journey towards digital advancement, dedicated to excellence, integrity, and social responsibility, creating lasting value for our clients, employees, and communities. Our vision is to establish ARK Infosoft as a leading IT company known for delivering creative solutions that help businesses succeed in today's digital world. We aim to be the preferred partner for all IT needs, fostering growth and prosperity in every industry we serve through innovation, collaboration, and sustainability. Our goal is to drive positive global impact, enabling businesses to thrive in the digital age and shaping a brighter tomorrow for all.,

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

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 Senior Product Manager, you will play a pivotal role in defining the strategic direction of the product offerings, collaborating with cross-functional teams, and ensuring the successful execution of the product vision. With 8-10 years of experience in the Product domain developing AI-based enterprise solutions, you will leverage AI/ML technologies to enhance product capabilities and deliver innovative solutions in a fast-paced and dynamic environment. Your key roles and responsibilities will include leading the development and execution of AI/ML products from concept to launch, defining the product roadmap, strategy, and vision based on market trends, customer needs, and business goals. You will collaborate with cross-functional teams including engineering, design, data science, and marketing to drive product development, conduct market research and competitive analysis to identify new opportunities, and enhance existing products. Managing the product lifecycle, including planning, prioritization, and feature definition, you will measure and evaluate product performances, user behavior, and Customer Satisfaction using qualitative and quantitative methods. Communication of the product vision and priorities to stakeholders, team members, and executives will be essential. Additionally, driving product performance analysis and making data-driven decisions to optimize product features and user experience are crucial aspects of the role. Your interaction with customers to gather feedback, understand requirements, and address product issues will be important. Staying updated on AI industry trends, technologies, and best practices to drive innovation and maintain competitive advantage is a key requirement. Providing leadership and mentorship to junior product team members will also be part of your responsibilities. A Product Management Certification (e.g., Pragmatic Marketing, Certified Scrum Product Owner) is required for this role. Strong behavioral skills such as excellent leadership and communication, problem-solving, decision-making abilities, adaptability, creativity, and a passion for innovation are essential. Experience with technical tools and frameworks like Python, TensorFlow, PyTorch, OpenAI, Jupyter Notebooks, MLflow, AWS SageMaker, Google Vertex AI, or Azure ML will be advantageous. If you have proven experience in building AI/ML Products, you can email your resumes to hardik.dwivedi@adani.com.,

As a Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

As a talented Senior Rust Developer, you will have the exciting opportunity to be a part of our ambitious team dedicated to advancing AI technology. You will play a crucial role in developing innovative solutions and contributing to the forefront of AI advancements. Your primary focus will be on working with various US-based projects to create both commercial and research AI solutions. Your responsibilities will include writing effective and high-quality code to train and evaluate AI models. Leveraging your business acumen and analytical skills, you will extract valuable insights from public databases. You will be adept at clearly communicating the reasoning and logic behind your code, whether it be in Jupyter notebooks or other suitable mediums. Additionally, you will evaluate and rank AI model responses based on user requests across a diverse range of computer science topics, providing detailed rationales for your decisions. Your expertise will also be crucial in enhancing the quality of model responses. To excel in this role, you should hold a Bachelors or Masters Degree in Engineering, Computer Science, or possess equivalent experience. You must demonstrate exceptional critical thinking and problem-solving abilities, encompassing a solid understanding of algorithms, data structures, system design, and coding best practices. Proficiency in Rust's syntax and conventions is essential for this position. While not mandatory, prior experience in Software Quality Assurance and Test Planning would be advantageous. Effective spoken and written English communication skills are a must, enabling you to articulate ideas clearly and comprehensively. If you are passionate about driving AI technology forward and possess the requisite skills and qualifications, we encourage you to apply and join our dynamic team as a Senior Rust Developer.,

You will be part of a team dedicated to pushing the frontiers of AI technology by joining us as a Senior Python Developer. This role is perfect for individuals who are passionate about creating innovative solutions and aspire to be at the forefront of AI advancements. You will be involved in various US-based projects where you will develop both commercial and research AI solutions. Your responsibilities will include writing effective, high-quality code to train and evaluate AI models. You will use your business sense and analytical abilities to extract valuable insights from public databases. It will be important for you to clearly articulate the reasoning and logic behind your code, whether it be in Jupyter notebooks or other suitable mediums. Additionally, you will evaluate and rank AI model responses based on user requests across a wide range of CS topics, providing detailed rationales for your decisions. Your input will also be valuable in enhancing the quality of model response. To qualify for this position, you should have a Bachelors/Masters Degree in Engineering, Computer Science (or equivalent experience). You must possess exceptional critical thinking and problem-solving skills, with a strong understanding of algorithms, data structures, system design, coding practices, etc. Proficiency in Python syntax and conventions is essential. Prior experience in Software Quality Assurance and Test Planning would be a plus. Strong verbal and written English communication skills are required to effectively convey ideas clearly and comprehensively.,

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

As a Machine Learning Engineer at our company, you will be responsible for developing and implementing various ML libraries and building data pipelines to address a range of challenges. Your role will require a deep understanding of Machine Learning principles, along with proficiency in utilizing available tools and libraries. Moreover, you should possess expert knowledge of Big Data technologies, with a particular focus on Python and/or Databricks. Additionally, your experience in natural language processing (NLP) will be highly valuable in this role. Ideal candidates will have a background as a software engineer or data scientist, demonstrating strong coding skills in Python and/or R. Familiarity with Linux and AWS is essential, while experience with Kubernetes would be considered a significant advantage. Furthermore, you should be able to showcase your ability to construct neural networking models for natural language applications. Proficiency in utilizing Jupyter notebooks for research and data analytics is also a key requirement for this position. Experience: 2 to 2+ Years Positions: 2 Location: Indore/Chennai, IN To apply for this position, please send your application to jobs@bitcot.com / hr@bitcot.com or contact us at (+91) 8103678419. Join us on this exciting journey of leveraging Machine Learning to drive innovation and solve complex problems.,

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary. Skills Kubernetes: Minikube, Helm, kubectl, HPA, KEDA Observability & Monitoring: Prometheus, Grafana, OpenTelemetry, ELK Stack, FluentBit AI/ML: Python, scikit-learn, Prophet, LangChain, Ollama (LLMs) Security Tools: Falco, KubeArmor, Sysdig Secure Dev Tools: Docker, VSCode, Jupyter Notebooks LLMs & Automation: LangChain, Neo4j, GPT-based explanation tools, Slack Webhooks

Role Overview: As an Engineering Manager in the AI team, you will lead and mentor a team of 10+ software engineers working on a wide range of AI/ML/GenAI-driven initiatives. You will be responsible for the end-to-end delivery of AI solutions, guiding your team through the full software and machine learning lifecycle, from ideation and design to deployment and continuous improvement. In this hands-on leadership role, you will collaborate closely with engineering leaders, data scientists, product managers, and other stakeholders to deliver high-quality AI applications that power our products and services. Responsibilities: Leadership and Mentorship: Lead, mentor, and develop a team of 10+ AI/ML software engineers, fostering a culture of growth, collaboration, and technical excellence. Ensure high performance by providing regular feedback, coaching, and career development opportunities. AI/GenAI Architecture and Delivery: Oversee the design and delivery of AI and generative AI systems, ensuring that all solutions are scalable, robust, and high-quality. Guide your team to implement innovative AI models, tools, and infrastructure that drive business outcomes. Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. Foster a culture of continuous learning, encouraging engineers to grow their technical skills and experiment with emerging technologies to contribute to the company's thought leadership in AI. Stakeholder Communication: Act as a liaison between the AI team and other stakeholders, effectively communicating progress, risks, and technical insights to non-technical leadership and product teams. Qualifications: Experience: 7-10 years of experience in software engineering, with at least 2-4 years in a leadership or management role, overseeing AI or machine learning teams. Proven track record of leading and delivering AI/ML and Generative AI initiatives at scale in fast-paced, dynamic environments. Technical Skills: Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Strong experience with AI, machine learning, and deep learning technologies as well as solid understanding of the software development lifecycle, object-oriented programming, concurrency, design patterns, RESTful services, and microservice architecture. AI Tools and Cloud Technologies: Experience with cloud platforms (AWS, Google Cloud, Azure), with a focus on AI/ML deployment (e.g., VertexAI, GKE, BigQuery, Kubeflow, TensorFlow Serving). Familiarity with MLOps practices and tools for model deployment and monitoring (e.g., Terraform, GitHub Actions, Concourse). Leadership and Collaboration: Strong people management and leadership skills, with experience leading cross-functional teams. Proven ability to mentor engineers, manage competing priorities, and align team efforts with business objectives. Agile Experience: Strong understanding of agile methodologies, with experience leading teams in an agile environment. Knowledge of best practices for managing sprints, tasks, and project timelines. Communication: Excellent verbal and written communication skills. Ability to communicate complex technical concepts to non-technical stakeholders and build strong working relationships across the organization. Preferred Qualifications: Experience working with large language models (LLMs) or fine-tuning open-source models like GPT. Familiarity with modern AI development tools, such as Jupyter notebooks, Kubernetes, Docker, and CI/CD pipelines. Experience in high-compliance or enterprise-grade environments with a focus on AI ethics, privacy, and security. Education: Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. Ph.D. is a plus.

MSCI Services is looking for a Vice President to join our Data Collection team. This team is crucial for collecting and processing over 2.5K raw data points across 70K companies from 300 public sources, representing millions of news articles and documents annually. This effort leads to 20 million data updates per year, providing publicly disclosed raw input data for various MSCI products, models, and indexes. We focus heavily on applying QA to data extracted from filings, news, websites, NGOs, or received from data providers. Responsibilities: Help nurture a team of young and experienced professionals, supporting their professional growth and development while embracing our values of diversity and inclusion. Manage team production and capacity planning . Identify resource availability for production and other product support processes. Create production and resourcing proposals for new projects and initiatives. Lead the team in delivering top-quality data aligned with MSCI methodology, service level agreements, and regulatory requirements. Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing new systems/tools that enable quality assessment without manual intervention. Lead initiatives on scaling up operations, process changes, business priorities , and client expectations. Collaborate with working committees, projects, or perform other tasks as deemed necessary by the business. Work with vendor teams on quality (timeliness and accuracy) expectations and metrics . This includes overseeing the vendor budget allocation for your product. Facilitate steering calls, regular stakeholder, and senior leader meetings to report on key performance metrics and initiatives. Escalate cases and challenges as necessary. Respond to client and issuer queries and be at the forefront representing the team on corporate and client engagements. Qualifications: Strong skills (written and oral), proficiency in creating presentations, data analysis, and excellent research and analytical skills. Must have a good command over Excel tools and functionality for dealing with large volumes of data. Experience in issuer/corporate relations and client communication . Comfortable working in a team environment across hierarchies, functions, and geographies. Strong interpersonal skills and ability to work with people in different offices and time zones. Sound knowledge about equities or financial markets in general , and knowledge of company disclosures, filings, and public company reporting, including 10-Ks and annual reports. Good to have: Exposure to pandas or tools like Power BI and Jupyter notebooks . ESG or regulatory related experience would be an added advantage, but is not a must. What we offer you: Transparent compensation schemes and comprehensive employee benefits , tailored to your needs, ensuring your financial security, health, and overall well-being. Flexible working arrangements , advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility, and expanded roles. We actively nurture an environment that builds a sense of inclusion, belonging, and connection , including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

In this role, you will design and deliver advanced AI curriculum, mentor students through real-world projects, and contribute to the evolution of a global AI learning program that emphasizes technical depth, ethics, and employability.

Position Purpose The main mission of this position will be to leverage data analytics and machine learning techniques to enhance financial decision-making, optimise processes, and mitigate risks . This involves analysing large datasets to uncover insights, developing predictive models to forecast financial trends, and creating data-driven strategies to improve efficiency and profitability. This also includes a capacity to proactively propose axes of improvement of F&S processes through data-driven solutions. Responsibilities Analysing large datasets to identify trends, patterns, and insights that can inform business decisions Designing and developing Predictive (Machine Learning) models Finding, managing and using the most appropriate data sources for modelling purposes Working with expert colleagues and business representatives to examine the results and keep models grounded in reality Documenting each step of the development and informing decision makers by presenting them options and results Ensuring correct implementation of the tools (together with the IT department - FRS) Continuously assessing models by means of back-testing Timely tracking of the deliverables against agreed timeline and budget Arrange smooth go-live implementation and provide post go-live support Present project status regularly to senior management Build and maintain a trusted relationship with all F&S stakeholders across different functions (PMO, IT, finance users, operation teams) Technical & Behavioral Competencies At least 5 years of experience in Machine learning algorithms, Frameworks and industrialisation: Master Degree or higher in Mathematics, Physics, Statistics, Computer science, Data Science or similar background where analytics and figures prevail Degree in Accounting / Finance is a plus Proficiency in programming languages such as Python and R Proficiency in data science tools and environments, such as Jupyter Notebooks and Git Good knowledge of SQL Knowledge of Data Visualisation solution(s) Strong understanding of statistical methods and concepts Having at least sound knowledge of Finance processes and/or systems is a plus Experience of working in Global work environment across cultures appreciated Experience with database management systems Experience with machine learning algorithms and frameworks (professional/academic) Experience in machine-learning models industrialisation Strong listening skills, strong interpersonal skills and a strong cross-functional cooperation between teams Rigorous and dynamic, you like human contact, work as a team and have an excellent organization ability Knowledge of Banking and Financial services Good communication (oral and written), organisation and documentation skills Ability to adapt to change and proficient in problem solving. Capability to work and interact with various people of different expertise and level. Client oriented Collaborative worker & team player Skills Referential Behavioural Skills : (Please select up to 4 skills) Communication skills - oral & written Ability to synthetize / simplify Creativity & Innovation / Problem solving Ability to deliver / Results driven Transversal Skills: (Please select up to 5 skills) Ability to set up relevant performance indicators Analytical Ability Ability to develop and adapt a process Ability to develop and leverage networks Ability to manage / facilitate a meeting, seminar, committee, training Education Level: Bachelor Degree or equivalent Other/Specific Qualifications (if required) Language: Fluent English, French is a plus