115 Rnn Jobs

As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product. This role requires a strong background in machine learning and deep learning, along with extensive experience in implementing advanced algorithms and models to solve complex problems. You will be working on cutting-edge technologies to develop solutions for anomaly detection, forecasting, event correlation, and fraud detection. Your responsibilities will include developing production-ready implementations of proposed solutions using various machine learning and deep learning algorithms. You will test these solutions on live customer data to ensure efficacy and robustness. Additionally, you will research and test novel machine learning approaches for large-scale distributed computing applications. In this role, you will be responsible for implementing and managing the full machine learning operations lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment. You will develop and deploy machine learning models using PyTorch and TensorFlow to ensure high performance and scalability. Furthermore, you will run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. To excel in this position, you should be proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy. Experience in time series analysis, data mining, text mining, and creating data architectures will be beneficial. You should also be able to utilize batch processing and incremental approaches to manage and analyze large datasets. As a Machine Learning Engineer, you will experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. You will execute machine learning algorithms in cloud environments, leveraging cloud resources effectively. Continuous feedback gathering, model retraining, and updating will be essential to maintain and improve model performance. Moreover, you should have expertise in network characteristics, transformer architectures, GAN AI techniques, and end-to-end machine learning projects. Experience with leading supervised and unsupervised machine learning methods and familiarity with Python packages like Pandas, Numpy, and DL frameworks like Keras, TensorFlow, PyTorch are required. Knowledge of Big Data tools and environments, as well as MySQL/NoSQL databases, will be advantageous. You will collaborate with cross-functional teams of data scientists, software engineers, and stakeholders to integrate implemented systems into the SaaS platform. Your innovative thinking and creative ideas will contribute to improving the overall platform. Additionally, you will create use cases specific to the domain to solve business problems effectively. Ideally, you should have a Bachelor's degree in Science/IT/Computing or equivalent with at least 4 years of experience in a QA Engineering role. Strong quantitative and applied mathematical skills are essential, along with certification courses in Data Science/ML. In-depth knowledge of statistical techniques, machine learning techniques, and experience with Telecom Product development are preferred. Experience in MLOps is a plus for deploying developed models, and familiarity with scalable SaaS platforms is advantageous for this role.,

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

What is the AI/ML Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-4 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

As a Manager, Behavioral Modeler (Development/Validation) & Researcher Specialist at Genpact, you will be responsible for developing or validating Behavioral Models for banking and financial institutions, focusing on areas such as Financial Crime (Fraud or AML), Marketing Campaigns, and Adjudication models. Your role will involve working closely with the centralized advanced analytics team of banking or financial firms, interacting with various business units, auditors, and model development/validation teams to ensure compliance with Enterprise Modeling Governance standards. Your key responsibilities will include providing analytical support to mitigate risk, assessing data quality for model development, developing machine learning-based models, proposing recommendations to improve monitoring systems, conducting in-depth research on behavioral modeling policies, and contributing to the creation of whitepapers and artifacts. You will be expected to have hands-on experience in developing and validating models, risk management, and applying AI, ML, and Deep Learning techniques using tools such as SAS, Python, and R. The qualifications we seek in you include a Master's degree in a quantitative discipline, experience in statistical modeling, detailed knowledge of data analysis techniques, expertise in SQL, ETL, and strong scripting and automation skills. Additionally, you should possess strong client management, communication, and presentation skills, be self-driven, proactive, and have the ability to work under ambiguity and with minimal supervision. You should also have strong project management experience, the ability to lead projects and teams, and demonstrate expertise in communicating and coordinating across multiple business units. Preferred qualifications/skills include strong networking, negotiation, and influencing skills, as well as prior experience in financial crime and machine learning models. If you are a forward-thinking individual with a hunger for learning and a passion for turning innovative ideas into reality, we invite you to apply for this challenging and rewarding role at Genpact. Please note that this is a full-time position based in India-Kolkata, and the job posting was on Oct 7, 2024.,

You will be responsible for building, improving, and extending NLP capabilities to deliver theoretically elegant algorithms and practically efficient solutions to complex problems. As an NLP Engineer, you will research and evaluate different approaches to NLP problems, write well-designed code that produces deliverable results, and ensure that the code scales and can be deployed to production. Additionally, you will design and execute A/B tests through a framework, apply machine learning to language-related problems, and have knowledge of association mining, named entity recognition, and vector representations of textual data. You should have a strong understanding of neural networks such as RNN and LSTM, as well as expertise in Python, data structures, algorithms, and general software development skills. With at least 3 years of work experience in data, you are expected to possess good communication skills, analytical abilities, and problem-solving skills. Being a good team player is essential, and you should have experience leading a technical team, handling POCs, designing solutions, and providing estimates as per requirements.,

Responsibilities: Lead and manage end-to-end data science projects, including project planning, scoping, budgeting, resource allocation, and timeline management. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define project requirements, deliverables, and milestones. Conduct project kick-off meetings, define project objectives, and establish clear project scopes and deliverables. Develop and maintain project plans, track progress, and provide regular updates to stakeholders, ensuring project milestones are met within the defined timeline. Identify and manage project risks, issues, and dependencies, implementing mitigation strategies and contingency plans as necessary. Coordinate and communicate project activities, ensuring alignment with organizational goals and objectives. Monitor project budget, resource utilization, and expenses, making necessary adjustments to optimize project performance and efficiency. Foster a collaborative and innovative work environment, promoting knowledge sharing and best practices within the data science team. Stay updated with industry trends, emerging technologies, and advancements in data science methodologies, and propose relevant process improvements or tool adoption. Provide leadership and mentorship to the data science team, facilitating their professional growth and development. Requirements: Bachelor's degree in computer science, Data Science, Statistics, or a related field. A master's degree is preferred. Proven experience (5+ years) in managing data science projects, preferably in a fast-paced and dynamic environment. Strong understanding of data science concepts, machine learning algorithms, and statistical modeling techniques. Proficient in project management methodologies, tools, and techniques. Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines. Exceptional problem-solving and analytical abilities, with keen attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts to non-technical stakeholders. Strong leadership skills, with the ability to motivate and inspire team members. Experience with data visualization tools, programming languages (e. g., Python, R), and big data technologies is a plus. Whatspp - 9886683329

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

As an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your key responsibilities will include developing models for segmentation, object classification, crop monitoring, and disaster management. It is essential for you to have proficiency in Python, ML frameworks such as TensorFlow and PyTorch, and strong research skills. An advanced degree is required for this role. SatSure is a deep tech, decision intelligence company that focuses on agriculture, infrastructure, and climate action in the developing world. The company aims to make insights from earth observation data accessible to all. Joining SatSure means being at the forefront of building a deep tech company from India that aims to solve global problems. In this role, you will be responsible for implementing deep-learning models and frameworks for various applications in agriculture and infrastructure using earth observation data. You will design and implement performance evaluation frameworks, explore new methods for improving performance, and build model monitoring and active learning pipelines. Additionally, you will work on solving research problems related to land use and land cover (LULC), crop classification, change monitoring, and disaster management using earth observations. To qualify for this role, you should have a master's degree or PhD in Engineering, Statistics, Mathematics, or Computer Science with 5-8 years of experience in machine learning-based data product research and development. Proficiency in tools and frameworks related to computer science, probability, statistics, learning theory, and deep learning fundamentals is required. Experience with statistical modeling techniques and deep learning models like CNN, RNN, Transformers, and GANs is necessary. You should also be proficient in Python and have hands-on experience in using ML frameworks such as TensorFlow, PyTorch, PyTorch Lightning, and MxNet. Additional qualifications include the ability to design, develop, and optimize machine learning/deep learning models, knowledge of applying ML to earth observation data, and an appetite for research and implementing innovative solutions for complex problems. In addition to a challenging and rewarding work environment, SatSure offers benefits such as medical health cover for you and your family, access to mental health experts, dedicated allowances for learning and skill development, and a comprehensive leave policy. The interview process includes an introductory call, assessment, presentation, multiple interview rounds, and a culture/HR round. Join SatSure to be a part of a dynamic team that is making a positive impact on the world through innovative technology and deep learning solutions.,

As a Data Scientist at our organization, you will be an integral part of the Flight Safety team, driving safety-related decisions and enhancing operational processes through advanced analytics and machine learning techniques. Your primary focus will be on leveraging time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that contribute to flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to derive insights from complex datasets, implementing anomaly detection techniques on various data types, and developing machine learning and deep learning models for predictive safety analytics. You will also be tasked with using big data analytics tools and AI/ML frameworks to support data-driven decision-making, designing custom algorithms to meet specific requirements, and writing efficient, maintainable code in Python and MATLAB for data processing and modeling. To excel in this role, you should have a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. A minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills that will be essential for success in this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning and deep learning techniques (such as ANN, RNN, CNN), big data analytics, AI-driven risk forecasting, strong programming skills in Python and MATLAB, custom algorithm design, and data collection and preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science initiatives in the aviation safety domain, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,

As an experienced professional in the field, you will be expected to demonstrate proficiency in a range of key areas. Your expertise should include statistical modeling, traditional machine learning, and Gen AI. Moreover, you should possess knowledge of various deep learning models such as LSTM, N-BEATS, CNN, and RNN. In addition, you are required to be well-versed in optimization techniques including linear programming and mix integer programming, along with familiarity with optimization tools like Opensolver and Gurobi. Your role will involve working with Data Bricks and Snowflake, engaging with ML/DL models, and interacting directly with business stakeholders and customer FTEs. Therefore, strong technological skills and effective communication are essential for success in this position. The must-have skills for this role include Time Series Modelling (LSTN, CNN, N-BEATS, RNN), proficiency in Data Bricks, statistical knowledge, Python programming, optimization expertise, as well as experience with Opensolver and Gurobi. Additionally, it would be beneficial to have experience with GenAI and Snowflake. The ideal candidate should have a minimum of 8-10 years of experience in the field, showcasing a deep understanding of the mandatory skills required for this role. Your ability to leverage your expertise in time series modeling, data manipulation, statistical analysis, and optimization tools will be instrumental in driving successful outcomes for the organization.,

As a Senior Generative AI Engineer, your primary role will involve conducting original research on generative AI models. You will focus on exploring model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. It is essential to maintain a strong publication record in esteemed conferences and journals, demonstrating your valuable contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). In addition, you will be responsible for designing and experimenting with multimodal generative models that incorporate various data types such as text, images, and other modalities to enhance AI capabilities. Your expertise will be crucial in developing autonomous AI systems that exhibit agentic behavior, enabling them to make independent decisions and adapt to dynamic environments. Leading the design, development, and implementation of generative AI models and systems will be a key aspect of your role. This involves selecting suitable models, training them on extensive datasets, fine-tuning hyperparameters, and optimizing overall performance. It is imperative to have a deep understanding of the problem domain to ensure effective model development and implementation. Furthermore, you will be tasked with optimizing generative AI algorithms to enhance their efficiency, scalability, and computational performance. Techniques such as parallelization, distributed computing, and hardware acceleration will be utilized to maximize the capabilities of modern computing architectures. Managing large datasets through data preprocessing and feature engineering to extract critical information for generative AI models will also be a crucial aspect of your responsibilities. Your role will also involve evaluating the performance of generative AI models using relevant metrics and validation techniques. By conducting experiments, analyzing results, and iteratively refining models, you will work towards achieving desired performance benchmarks. Providing technical leadership and mentorship to junior team members, guiding their development in generative AI, will also be part of your responsibilities. Documenting research findings, model architectures, methodologies, and experimental results thoroughly is essential. You will prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Additionally, staying updated on the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities is crucial to foster a culture of learning and innovation within the team. Mandatory technical skills for this role include strong programming abilities in Python and familiarity with frameworks like PyTorch or TensorFlow. In-depth knowledge of Deep Learning concepts such as CNN, RNN, LSTM, Transformers LLMs (BERT, GEPT, etc.), and NLP algorithms is required. Experience with frameworks like Langgraph, CrewAI, or Autogen for developing, deploying, and evaluating AI agents is also essential. Preferred technical skills include expertise in cloud computing, particularly with Google/AWS/Azure Cloud Platform, and understanding Data Analytics Services offered by these platforms. Hands-on experience with ML platforms like GCP: Vertex AI, Azure: AI Foundry, or AWS SageMaker is desirable. Strong communication skills, the ability to work independently with minimal supervision, and a proactive approach to escalate when necessary are also key attributes for this role. If you have a Master's or PhD degree in Computer Science and 6 to 8 years of experience with a strong record of publications in top-tier conferences and journals, this role could be a great fit for you. Preference will be given to research scholars from esteemed institutions like IITs, NITs, and IIITs.,

Job Title Data & AI Telecom Analytics Level 9 - S&C Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms & Media practice within Strategy & Consulting: Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & ResponsibilitiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: Overall 5+ years of experience in Data Science & at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various aspects of AI, including deep learning, neural networks, and image processing, while also integrating generative AI models into your projects. Collaboration with cross-functional teams will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to drive efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As a Consultant Data Scientist on a contractual role for a duration of 6 months, you should possess a strong understanding of Data Structures and Algorithms. Your proficiency in advanced programming skills, especially in Python, is mandatory for this role. Additionally, having a working knowledge of C++ would be beneficial. Your responsibilities will include hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, and clustering. It is essential to have a good grasp of algorithm design and development. Familiarity with reinforcement learning, computer vision, or NLP would be an advantage in this position. The ideal candidate should be open to working part-time and must be comfortable with a contractual arrangement. The budget for this role ranges from 80k to 1.3 Lacs per month. The job type is contractual/temporary, with a contract length of 6 months. In addition to the technical requirements, you should be willing to work in person at the specified work location. As a Consultant Data Scientist, you will have the benefit of a flexible schedule. If you meet these qualifications and are interested in this opportunity, please send your CV to soumojit.roy@rebaca.com. To apply for this role, please consider the following questions: - Are you willing to work as a consultant on a 6-month contract - On a scale of 1 to 10, how would you rate your proficiency in Python - What are your monthly salary expectations We look forward to receiving your application and potentially welcoming you to our team as a Consultant Data Scientist.,

As a Global Data Scientist II at Worley, your main responsibility will be to understand business objectives and develop models to help achieve them. You will be utilizing existing frameworks and standards to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class. Managing the Data Science project life cycle from exploratory data analysis to productization will also be a key aspect of your role. You will collaborate with Architecture, Data Warehouse, and Data Governance teams to provide analytics as a service, mentor team members for AI/ML development, and ensure data quality through data cleaning and acquisition processes. Your role will involve defining validation strategies, preprocessing or feature engineering on datasets, data augmentation pipelines, training models, and tuning hyperparameters. You will also be responsible for analyzing model errors, designing strategies to overcome them, and deploying models to production. Development of ML algorithms to solve problems and exploring and visualizing data to gain insights will be part of your daily tasks. To succeed in this role, you should have proven experience as a Data Scientist in AI/ML or similar roles, with the ability to write robust code in Python. Experience in Generative AI components, supervised/semi-supervised and unsupervised machine learning algorithms, cognitive APIs, NLP, image processing with deep learning, and the complete AI/ML project life cycle is required. Strong knowledge of data structures, data modeling, and software architecture is essential. In addition to technical skills, you should possess outstanding analytical and problem-solving abilities, excellent communication skills, and the capacity to work independently or as part of a cross-domain team. Taking ownership of tasks and being accountable for deliverables will be crucial in this role. To qualify for this position, you should have a minimum of 4-7 years of experience as a Data Scientist on AI and ML projects and hold a Masters in information technology, Big Data, Data Science, AI, Computer Science, or a related field. At Worley, our focus is on fostering a values-inspired culture that encourages belonging, connection, and innovation. We are committed to reskilling our workforce and supporting their transition to becoming experts in low carbon energy infrastructure and technology. Join us to broaden your horizons, explore diverse opportunities, and contribute to delivering sustainable change.,

As a member of our team at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your role will involve customizing and enhancing Salesforce to align with the specific requirements of the business. Collaboration with cross-functional teams to design and implement new features will be a key aspect of your responsibilities. You will have the opportunity to work on achieving certain milestones on Trailhead related to Salesforce. Participating in code reviews to uphold high-quality standards, troubleshooting and debugging issues in existing applications, and ensuring that you are updated with the latest developments in Salesforce and related technologies will be essential parts of your daily tasks. Softsensor.ai is a USA and India-based corporation that focuses on delivering client outcomes using data-driven solutions. Our team comprises individuals with diverse expertise and experience in deploying solutions rapidly. We prioritize data science and analytics to enhance process and organizational performance, leveraging cutting-edge technologies such as NLP, CNN, and RNN in a business context. Join us at Softsensor.ai to contribute to innovative projects and work in a dynamic environment that values continuous learning and professional growth.,

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

Job Title - S&C Global Network - AI - CMT ML Ops Ass Manager Management Level:8- Associate Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 6+ years Educational Qualification: Btech/ BE

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to drive efficiency and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions that meet production standards. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

As a motivated and highly skilled Data Scientist joining the Flight Safety team, your role will be crucial in utilizing advanced analytics and machine learning techniques to drive safety-related decisions and enhance operational processes. You will primarily focus on analyzing time-series and multivariate data to detect anomalies, identify patterns, and create predictive models that contribute to improving flight safety and minimizing risks. Your responsibilities will include conducting exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques to spot irregularities and potential safety risks, and developing machine learning and deep learning models like ANN, RNN, and CNN for predictive safety analytics. Using big data analytics tools and AI/ML frameworks, you will support data-driven decision-making within the field of flight safety. Additionally, you will design custom algorithms tailored to meet specific domain requirements with precision and reliability, and write efficient, maintainable code in Python and MATLAB for data processing, modeling, and algorithm deployment. Collaboration with cross-functional teams will be essential in translating analytical findings into actionable safety initiatives. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. With a minimum of 6 years of practical experience in data science, machine learning, or analytics roles, you should have a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Proficiency in data analysis, exploratory data analysis, anomaly detection (time-series & multivariate data), machine learning, deep learning, big data analytics, and AI-driven risk forecasting is crucial. Strong programming skills in Python and MATLAB, coupled with expertise in custom algorithm design, data collection, preprocessing, and integration, are also required. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in the aviation safety sector, work in a collaborative and innovation-oriented environment, and be part of a mission-critical team dedicated to predictive safety and operational excellence. This is a full-time, permanent position with benefits including cell phone reimbursement, provided food, health insurance, paid sick time, paid time off, provident fund, and the option to work from home. The work schedule is during the day, and the work location is in person.,

As a Salesforce Developer at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your primary focus will be on customizing and enhancing Salesforce to align with the specific business requirements. You will collaborate with cross-functional teams to design and implement new features to drive business growth. Your key responsibilities will include working on Salesforce projects to earn points on Trailhead, participating in code reviews to ensure high-quality standards, and troubleshooting and debugging issues in existing applications. It is essential to stay updated with the latest developments in Salesforce and related technologies to leverage innovative solutions effectively. Softsensor.ai is a USA and India-based corporation specializing in data-driven outcomes for clients. Our team comprises seasoned professionals with a wealth of experience in leading global consulting firms and corporations. We are dedicated to utilizing data science and analytics to enhance organizational performance. We are at the forefront of cutting-edge technologies such as NLP, CNN, and RNN, applying them in a business context to drive innovation and efficiency.,

You are seeking a motivated and highly skilled Data Scientist to join the Flight Safety team in Gurgaon. Your role will involve leveraging advanced analytics and machine learning to drive safety-related decisions and enhance operational processes. As a critical member of the team, you will work with time-series and multivariate data to detect anomalies, identify patterns, and develop predictive models that enhance flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques on time-series and multivariate data, and developing machine learning and deep learning models for predictive safety analytics. You will also be utilizing big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety, designing custom algorithms for domain-specific requirements, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with a certification in Data Science. Additionally, you should have a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills required for this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning, deep learning, big data analytics, AI-driven risk forecasting, programming skills in Python and MATLAB, custom algorithm design, data collection, preprocessing, and integration. By joining this team, you will have the opportunity to contribute to cutting-edge data science initiatives in aviation safety, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,