111 Statistical Methods Jobs - Page 4

You will be joining Moodlakatte Institute of Technology, Kundapura (MITK) as a full-time Assistant Professor specializing in Data Science. Located in Kundapura, you will play a key role in delivering lectures, developing curriculum, mentoring students, conducting research, and engaging in various academic activities. Your responsibilities will also involve evaluating student performance, collaborating with colleagues, and contributing to the overall enhancement of the department. To excel in this role, you must hold an M.Tech in Data Science and demonstrate proficiency in Data Analysis, Machine Learning, and Statistical Methods. Experience with programming languages such as Python, R, and SQL is essential. Strong communication and presentation skills are a must, along with the ability to effectively mentor and guide students in their academic and professional growth. A commitment to continuous learning and professional development is highly valued, while prior teaching experience, although not mandatory, will be advantageous. Join us at MITK and be a part of our mission to provide a nurturing educational environment that empowers students to shape their futures through knowledge and holistic development.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Operating in more than 45 countries across five continents, we leverage state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. With a team of over 4,500 talented professionals worldwide, we offer a dynamic, growth-oriented, and meritocracy-based culture that emphasizes continuous learning, skill development, work-life balance, and equal opportunity for all. Recognized by Great Place to Work in various countries, we provide a rewarding environment for individuals looking to make a significant impact. As a member of the Risk and Quant Solutions (RQS) team at Evalueserve, you will be part of one of the fastest-growing practices within the organization. Working with cutting-edge technology, you will address some of the world's largest financial needs and contribute to improving decision-making processes in the banking sector. Your responsibilities at Evalueserve will include leading and overseeing the development and implementation of Asset Liability Management (ALM) and Interest Rate Risk in the Banking Book (IRRBB) models for a bank. You will conduct advanced data analysis, collaborate with the model development team to enhance existing models, work directly with clients to provide tailored solutions in ALM and IRRBB management, and ensure timely completion of projects with a strong sense of urgency. Additionally, you will manage prototype source data migration, develop and deliver training programs, and contribute to strategic decision-making processes through your expertise. We are looking for individuals with a Bachelor's or Master's degree in business administration, finance, computer science, or related fields. The ideal candidate will have a deep understanding of ALM concepts, IRRBB, and Internal Liquidity Adequacy Assessment Process (ILAAP), as well as proficiency in statistical methods and tools such as logistic regression, Bayesian statistics, and time series analysis. Strong skills in Python and R, along with experience in developing models from scratch, are essential for this role. Effective communication, stakeholder management, and leadership skills are also key requirements. Please note that the job description provided is for informational purposes and may be subject to periodic modifications to align with evolving circumstances. Accuracy and authenticity in the information you provide are crucial for your candidacy, as they will be verified during the Background Verification Process. If you require any assistance, your Talent Acquisition Single Point of Contact (TA SPOC) is available to support you throughout the process.,

As a Medical Mechanical Design Verification/Control Engineer at HCLTech in Chennai Shollinganallur, you will be joining a team that values innovation, growth, and impactful work. This is an opportunity to work on cutting-edge projects in SME and be a part of something transformative! The walk-in drive is scheduled for 21st July Saturday from 9AM to 2PM at HCLTech Elcot Sez, 602/3, 138, Medavakkam High Road, Sholinganallur, Chennai-600119. The position available is for Mechanical Design (Lead, Technical Lead /Sr Lead) with an experience requirement of 3-7 years. To be eligible for this role, you should have a B.E/B.Tech or higher education in Mechanical Engineering. Sustaining Engineers are expected to have experience in Medical Device Design Controls, Design Verification & Validation for 3 to 7 years. You should be adept with the Design Control process for Medical Devices and have led Change Qualification projects for medical devices, collaborating with multi-cultured CFT. Your responsibilities will include developing test protocols and test plans, ensuring the quality of deliverables, expertise in Mechanical Engineering basics, Risk Management, applying statistical methods to problem-solving, and driving solutions for technical issues. Additionally, you should be self-motivated, capable of working independently, possess strong project management skills, and have excellent oral and written communication skills including technical writing. Knowledge of ISO13485 would be an added advantage for this role. Proficiency in software tools such as SolidWorks, 2D Tolerance Stackup, MS Word/Excel/PowerPoint is required. Interested candidates can share their CV with Katherine Sylvia at Katherinesylvia.k@hcltech.com, including details such as Current Company, Current CTC, Expected CTC, Notice Period, and Location. Make sure to bring this call letter for the walk-in interview on 21st July.,

As a Principal Scientist within the Preclinical Safety (PCS) Pathology Team at Novartis, you will play a crucial role in advancing translational safety omics data analysis to support innovative drug discovery and development efforts. Your responsibilities will involve collaborating closely with pathologists, bench scientists, and subject matter experts across different Novartis sites such as the USA and Switzerland. Your expertise in omics-based data science and your dedication to enhancing multimodal data analysis in translational drug safety will be key to success in this role. Your day-to-day tasks will include using machine learning and statistical methods to analyze spatial transcriptomics and spatial proteomics data from raw reads, comparing and contrasting different omics data sets, conducting multimodal analysis with other data modalities, and supporting various projects with data science expertise in fields like gene and cell therapy, target discovery, genetics, drug safety, and compound screening. Additionally, you will be expected to innovate by leveraging Data Science and Artificial Intelligence to solve problems effectively, communicate regularly with stakeholders, evaluate new technologies and scientific software, and independently identify and apply research articles to business problems. To qualify for this position, you should hold a Master's or Ph.D. in Data Science, Computational Biology, Bioinformatics, or a related discipline. You must be proficient in programming languages and data science workflows such as Python, R, Git, UNIX command line, and high-performance computing clusters. A minimum of 5 years of experience in analyzing large biological datasets in a drug discovery/development or academic setting is required, along with proven expertise in exploratory data analysis, statistical inference, and machine learning algorithms. Your collaborative mindset, exceptional communication skills, and ability to work in an agile environment will be essential for success in this role. Novartis is a company dedicated to improving and extending people's lives, with a strong belief in the power of medical science and digital innovation. The organization values diversity, equity, and inclusion, fostering an environment that encourages new ways of working and collaboration. By joining Novartis, you will have the opportunity to work in an unbossed culture that promotes integrity, curiosity, and flexibility, allowing you to tackle challenging medical problems with courage and ambition. Novartis is committed to creating an inclusive work environment that reflects the diversity of the patients and communities it serves. If you are interested in exploring career opportunities at Novartis, you can join the Novartis Network to stay connected and receive updates on future roles that align with your goals. Novartis offers a range of benefits and rewards to support your personal and professional growth. To learn more about the opportunities available and the company's commitment to helping you thrive, you can refer to the Novartis handbook on benefits and rewards.,

We are seeking an enthusiastic and skilled Python Developer with a passion for AI-based application development to join our expanding technology team. This role presents an opportunity to work at the intersection of software engineering and data analytics, contributing to cutting-edge AI-driven solutions that have a real business impact. If you possess a strong foundation in Python, a knack for problem-solving, and a keen interest in building intelligent systems, we are excited to meet you! As a Python Developer at ARDEM Data Services Private Limited, your key responsibilities will include: - Developing and deploying AI-focused applications using Python and associated frameworks. - Collaborating with Developers, Product Owners, and Business Analysts to design and implement machine learning pipelines. - Creating interactive dashboards and data visualizations to derive actionable insights. - Automating data collection, transformation, and processing tasks. - Utilizing SQL for data extraction, manipulation, and database management. - Applying statistical methods and algorithms to extract insights from large datasets. The ideal candidate should have: - 2-3 years of experience as a Python Developer, along with a robust portfolio of relevant projects. - A Bachelor's degree in Computer Science, Data Science, or a related technical field. - In-depth knowledge of Python, including frameworks and libraries such as NumPy, Pandas, SciPy, and PyTorch. - Proficiency in front-end technologies like HTML, CSS, and JavaScript. - Familiarity with SQL and NoSQL databases and their best practices. - Excellent communication and team-building skills. - Strong problem-solving abilities with a focus on innovation and self-learning. - Knowledge of cloud platforms such as AWS is a plus. Technical Requirements: - Laptop or Desktop: Windows (i5 or higher, 8GB RAM minimum) - Screen: 14 inches, Full HD (1920x1080) - Internet Speed: 100 Mbps or higher About ARDEM: ARDEM is a prominent Business Process Outsourcing and Business Process Automation service provider with a successful track record of over two decades. We deliver outsourcing and automation services to clients in the USA and Canada, focusing on continuous innovation and excellence. We are committed to becoming the leading Business Process Outsourcing and Business Process Automation company by consistently delivering top-notch services to our customers. Please note: ARDEM will never request personal or banking information during the hiring process for any data entry/processing roles. Any communication claiming to offer work-from-home jobs on behalf of ARDEM Incorporated is fraudulent. Please disregard such messages and refer to ARDEM's Careers page for genuine job opportunities. We apologize for any inconvenience caused by such deceptive practices.,

As a global leader in ship management and marine services, we add value to a vessel's operations. Operating around the clock and around the world, V. gives every client the quality and efficiency they need in every sector. Covering crew management and recruitment, quality ship management and technical services, together with supporting management and commercial services, V. has unrivaled industry knowledge with performance assured. Our values, We Care, We Collaborate, We Challenge, We are Consistent, We Commit and Deliver, are at the heart of everything we do and they support our strategy of Investing in Talent. We are always interested in making contact with talented individuals - people who will demonstrate our values and deliver great service, for internal and external stakeholders. The Demand and Capacity Forecasting Manager is responsible for developing and maintaining accurate demand/supply/capacity forecasts using data-driven methodologies. This role involves analyzing historical data, market trends, and business insights to optimize and improve forecast accuracy, workforce planning, and operational efficiency. The ideal candidate must have strong forecasting experience, analytical skills, experience in building predictive models, scenario planning, and the ability to collaborate across departments to drive strategic decision-making. Key Responsibilities and Tasks: - Forecast Development: Build and refine demand forecasting models using statistical methods and business intelligence tools. - Data Analysis: Analyze historical trends, seasonality, market dynamics, micro and macro factors to improve forecast accuracy. - Performance Monitoring: Track forecast accuracy, identify gaps, and continuously refine methodologies and assumptions to enhance reliability. - Collaboration: Work with internal stakeholders, finance, operations, recruitment, and commercial teams to align forecasts with business goals. - Scenario Planning: Conduct "what-if" analyses to assess the impact of internal and/or external factors. - Automation & Technology: Work closely with Senior Data Analysts to implement AI-driven forecasting solutions, machine learning and integrate new tools for predictive analytics. - Reporting & Communication: Present insights and recommendations to senior leadership, ensuring alignment with strategic objectives. - Risk Mitigation: Identify potential demand fluctuations and develop contingency plans. Key performance indicators (as specified in the Annual objective setting): - Forecast accuracy (measure how close the forecast is to actuals) - Business impact (contribution to business goals eg. Reduce recruitment requirement) V. Group can offer you a market-leading salary and benefits package, in addition to significant opportunities for career growth and personal development. This is a great opportunity to join a true leader in the maritime sector - a company that has exciting plans for future growth. **Essential Requirements**: - Must have strong, 5+ years" experience in demand forecasting, workforce planning preferably in a global organization. - Expertise in scenario planning. - Advanced Excel and MS O365. - Strong problem-solving and strategic thinking abilities. - Excellent communication skills with the ability to translate complex data into actionable insights. - Ability to work cross-functionally in a fast-paced environment. **Desirable Skills**: - Experience with AI/machine learning in forecasting is a plus. - Workforce Management (Resource) forecasting expertise. *Applications Close Date*: 31 Aug 2025,

You will be part of our team as a detail-oriented and analytical Data Analyst. Your main responsibilities will include interpreting data, analyzing results using statistical techniques, and providing ongoing reports to support business decisions. To excel in this role, you should have a solid foundation in data analysis, statistical modeling, and visualization, combined with a genuine passion for converting data into actionable insights. Your key responsibilities will involve collecting, processing, and cleaning data from various sources to ensure data quality and integrity. You will conduct data analysis and statistical evaluations to identify trends, patterns, and insights. Additionally, you will create data visualizations and dashboards using tools like Power BI, Tableau, or similar software. Writing clean and efficient code to handle large datasets using Python, R, SQL, etc., will also be a crucial part of your role. Collaborating with cross-functional teams to define and monitor key performance indicators (KPIs) and documenting data analysis processes to communicate findings with stakeholders will also be part of your routine tasks. Furthermore, you will work closely with Data Engineering teams to support data pipeline development and optimization. Your must-have skills for this position include a strong proficiency in data analysis and statistical methods, hands-on experience with data visualization tools like Power BI, Tableau, Matplotlib, Seaborn, proficiency in programming languages such as Python, R, or SQL, understanding of data engineering basics, and the ability to work with structured/unstructured data. You should also possess the ability to interpret data and present it clearly to both technical and non-technical audiences. Good-to-have skills for this role include experience with advanced programming concepts and scripting, familiarity with ETL processes and tools like Apache NiFi, Talend, or Informatica, knowledge of machine learning fundamentals and predictive analytics, exposure to advanced statistical modeling techniques, and experience with cloud platforms (AWS, GCP, Azure) for data handling. To qualify for this position, you should hold a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. This is a full-time job opportunity with health insurance benefits. The work schedule is during the day shift, and the work location is in person. Kindly respond to the following application questions: - How many years of experience do you have as a Data Analyst - How many years of experience do you have with Power BI - What is your current salary ,

The Life & Annuity Predictive Analytics (LAPA) business unit at Milliman is a dynamic and diverse team of professionals specializing in data science. As part of LAPA, you will have the opportunity to work with a talented group of individuals including data scientists, data engineers, software developers, and actuarial experts. Together, we strive to help insurers and distributors of life and retirement products leverage data to enhance their competitive edge and financial performance. In this role, you will take on the responsibility of leading industry studies for the LAPA team. Your duties will include overseeing the end-to-end process of data collection, development, testing, deployment, and maintenance of data processing and analytics infrastructure. Additionally, you will be involved in modeling analytics, analyzing results, and preparing comprehensive reports. Key Responsibilities: - Lead policyholder experience studies and direct analysts in preparing study data - Provide expertise in the life and annuity domain and represent Milliman in client interactions - Coordinate project tasks with the technical team and perform statistical methods assessments - Lead the preparation of client reports and relevant marketing materials Qualifications: - Bachelor's degree in a quantitative field (MS preferred) such as Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, or Data Science - Minimum of 5 years of relevant work experience with at least 2 years in an experience analysis or assumption setting role - Membership in a recognized Actuarial institute (e.g., IFoA, IAI, SOA) - Proficiency in common data analysis tools (e.g., Python, R, SASS, SQL) and familiarity with predictive modeling and statistical methods Desired Skills: - Experience in leading project teams and a background in the life and annuity industry - Ability to thrive in a fast-paced environment with a client-centric focus - Strong critical thinking, decision-making, and communication skills - Demonstrated reliability, dedication to quality work, and the capability to articulate ideas clearly - Comfort working both independently and collaboratively while managing competing priorities and deadlines Additional Skills to Develop: - Aptitude for quantitative and critical thought - Experience with cloud-based computing platforms (e.g., Databricks) and analytical programming using spark-based languages (PySpark, SparkSQL) At Milliman, we are committed to our mission of protecting the health and financial well-being of individuals worldwide. Our core values of Quality, Integrity, and Opportunity guide our actions and interactions with clients and colleagues. Through a focus on Collaboration, Communication, People Development, Innovation, and fostering a Positive Culture, we continuously strive for excellence in our work. Diversity, Equity & Inclusion is a key focus for our practice, and we value inclusivity as a business imperative. We expect all team members to contribute to a culture of belonging and support initiatives that promote diversity within our organization. As a professional at Milliman, you are encouraged to embody a client-centric mindset, exceed job expectations, and engage in administrative responsibilities to support the smooth operation of our Practice. Your dedication to exceptional client service, continuous improvement, and adherence to professional standards will contribute to your career growth and success within our team.,

About the Role: As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will work in close collaboration with cross-functional teams to build and deploy intelligent network automation tools leveraging machine learning, artificial intelligence, and advanced analytics. The goal is to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, particularly focusing on 5G and beyond. Requirements Skills & Qualifications: Education: A bachelor's or master's degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. Experience: Proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. Strong background in network optimization, particularly in RAN, 5G, or related technologies. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. Technical Expertise: Strong programming skills in languages such as Python, Java, Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods. In-depth knowledge of RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. Desirable Skills: Familiarity with network orchestration and management tools (e.g., NFV, SDN). Experience with programming languages such as Python, Java, or similar, used for AI/ML solutions. Hands-on experience with tools like TensorFlow, PyTorch, or other machine learning frameworks. Knowledge of 5G and future mobile network standards (e.g., 3GPP, O-RAN). Skills: Strong problem-solving abilities and a passion for developing innovative solutions. Excellent communication skills to work with cross-functional teams and stakeholders. Ability to understand and translate business requirements into technical solutions. Key Responsibilities: Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands. This includes interference management, load balancing, and energy efficiency. AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points.,

The HAECO Group is a leading global provider of MRO services in the aviation industry. With a diverse range of aviation products and services, we ensure the safe and efficient operation of aircraft, engines, and components for our customers worldwide. Established in Hong Kong in 1950, our presence has expanded globally, encompassing operations in the Asia-Pacific region, Americas, and beyond. At HAECO Hong Kong, located at the Hong Kong International Airport (HKIA), we deliver a comprehensive array of services including airframe services, line services, component services, engine services, inventory technical management, cabin solutions, freighter conversions, technical training, and AOG support. As a vital member of our team, your role is pivotal in ensuring the efficient execution of projects by closely monitoring progress, adjusting capacity plans, and proposing effective solutions to meet project milestones. Your contributions will be instrumental in optimizing resources, supporting recruitment efforts, and facilitating decision-making processes to uphold operational excellence. Key Responsibilities: - Capacity Planning and Replanning: Proactively manage and adjust capacity based on project priorities, trade capacity availability, workload plans, and potential risks. - Solution Proposals: Develop and present alternative solutions for capacity rearrangements to meet project milestones while minimizing disruption to hangar operations and future capacity plans. - Manpower Availability Support: Provide accurate data on manpower availability to the Resources Planning team for new business inquiries. - Collaborate closely with the Takt team and BM Managers to monitor and verify WIP project progress, assessing the need for capacity replanning. - Project future trade workload to support the BM Development Manager in human capital recruitment initiatives. Requirements: - Minimum of 5 years of experience in the aviation industry, with at least 3 years in Project Management, capacity planning, or operations analysis. - Proficiency in data analysis and statistical methods, capable of interpreting complex data sets to derive actionable insights. - Experience with capacity modeling tools or techniques to forecast resource requirements and optimize utilization. - Familiarity with software applications for capacity planning, project management, and data visualization (e.g., Excel, SQL, Power Platform, Tableau). - Ability to thrive in a fast-paced environment and work effectively under tight schedules. - A recognized university degree in Production or Industrial Engineering, Data Sciences, or related disciplines is preferred but not mandatory. Join our team at HAECO and embark on a rewarding career with a global leader in aviation services! Reference ID: 662 Candidates who do not receive communication within 4-6 weeks of submitting their applications and/or interviews may consider their application unsuccessful. Rest assured that all information provided by candidates will be handled with strict confidentiality and used solely for employment purposes.,

At CommBank, we believe in providing a work environment that is tailored to suit your needs, offering various flexible working options. Our team in Bangalore is currently seeking an Analyst specializing in Fraud & Scams Analytics to join the Fraud & Scams Analytics team. As an Analyst in Fraud & Scams Analytics, your primary responsibility will be to define and execute robust fraud analytics procedures for the Group. Working collaboratively with a team of diverse backgrounds, you will develop data features for fraud and scam detection models, enhance scripts to improve accuracy, and collaborate with analytics staff. Additionally, you will liaise with Data Scientists and rule writers to optimize fraud detection for the bank using self-service tools. The ideal candidate for this role should possess at least 3 years of experience in Data Analytics. You must be proficient in gathering and cleaning data from various sources, utilizing tools such as SQL, Python, or R, as well as AI virtual assistants for data manipulation. Your role will also involve performing exploratory data analysis to uncover patterns, correlations, and trends, applying statistical methods and machine learning techniques to analyze data, and providing actionable recommendations based on your findings. To excel in this position, you should have an analytical mindset with the ability to creatively solve problems. It is essential to stay updated on the latest trends and technologies in data analytics and machine learning, identifying opportunities for process improvements and automation. Effective collaboration within the analytics community and with stakeholders is crucial for success in this role. Candidates with a Bachelor's or Master's degree in computer science, engineering, or information technology are encouraged to apply. If you are already part of the Commonwealth Bank Group, including Bankwest and x15ventures, please apply through Sidekick to submit a valid application. We are committed to supporting you in your career growth and development. If you require additional support or have accessibility needs, please contact HR Direct at 1800 989 696. We aim to make the application process as seamless as possible for all candidates. Join our team and be part of safeguarding our customers from financial fraud and scams while contributing to the development of innovative fraud analytics procedures. Apply now and take the next step towards a rewarding career with us.,

About the Role: As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. Your main focus will be to work closely with cross-functional teams to build and deploy intelligent network automation tools using machine learning, artificial intelligence, and advanced analytics. Your goal will be to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, with a particular emphasis on 5G and beyond. Requirements Skills & Qualifications: - Education: A bachelors or masters degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. - Experience: You should have proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. A strong background in network optimization, especially in RAN, 5G, or related technologies, is required. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. - Technical Expertise: You should have strong programming skills in languages like Python, Java, and Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods is essential. In-depth knowledge of RAN technologies, 5G, and network management protocols is a must. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. - Desirable Skills: Familiarity with network orchestration and management tools (e.g., NFV, SDN), experience with programming languages such as Python, Java, or similar for AI/ML solutions, hands-on experience with tools like TensorFlow, PyTorch, or other machine learning frameworks, and knowledge of 5G and future mobile network standards (e.g., 3GPP, O-RAN) are desirable. Skills: - Strong problem-solving abilities and a passion for developing innovative solutions. - Excellent communication skills to collaborate with cross-functional teams and stakeholders. - Ability to understand and translate business requirements into technical solutions. Job responsibilities Key Responsibilities: - Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. - Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. - Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands, including interference management, load balancing, and energy efficiency. - AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. - End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. - Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. - Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. - Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points. What we offer Culture of caring: At GlobalLogic, we prioritize a culture of caring where people come first. You'll experience an inclusive culture of acceptance and belonging from day one, building meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development: We are committed to your continuous learning and development, offering many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. Interesting & meaningful work: As part of our team, you'll have the chance to work on impactful projects that matter, engaging your curiosity and creative problem-solving skills. Balance and flexibility: With various career areas, roles, and work arrangements, you can explore ways to achieve the perfect balance between work and life. High-trust organization: Joining GlobalLogic means being part of a high-trust organization where integrity is key, ensuring a safe, reliable, and ethical global company. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for creating innovative digital products and experiences since 2000. Collaborating with clients worldwide, we transform businesses and redefine industries through intelligent products, platforms, and services.,

The Data Science team at Meesho plays a crucial role in devising creative solutions and building intelligent systems for millions of users across a wide range of product categories. As a Principal Data Scientist in the AdTech team, you will lead innovation in the advertising platform by leveraging advanced machine learning and statistical methods. Your responsibilities will include developing algorithms to optimize ad spend and ROI, designing frameworks to measure ad effectiveness, collaborating with cross-functional teams to implement AI/ML solutions, and providing strategic insights to tech and business leadership. Key Responsibilities: - Design and develop sophisticated algorithms for bidding and budget optimization. - Create frameworks for measuring ad effectiveness and ROI. - Collaborate with product and engineering teams to implement AI/ML solutions. - Communicate insights and recommendations to tech and business leadership. - Mentor junior data scientists and provide technical guidance. - Lead research initiatives in machine learning, auction theory, and advertising technology. Requirements: - B.Tech in Computer Science, Machine Learning, or a related field with a minimum of 6 years of experience in AI/ML research. - Proficiency in PyTorch or TensorFlow, and expertise in Python and big data technologies. - Experience in auction theory, predictive modeling, causal inference, and reinforcement learning. - Strong communication skills to convey complex concepts to technical and non-technical audiences. - Prior experience in mentoring junior data scientists and managing multiple problem statements. Preferred Qualifications: - M.Tech or Ph.D. in Computer Science with a specialization in Machine Learning. - 3+ years of experience applying machine learning in AdTech or related domains. - Exposure to real-time bidding systems, programmatic advertising, or ad exchanges. - Track record of successful research-to-product transitions. - Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).,

As an experienced Business Analyst, your role as an Inspection Coordinator involves focusing on ensuring the proper execution of various production support activities. This includes triggering Inspection Announcement letters, validating Primary Inspection Contacts, and reviewing Third Party Property Inspection Audit reports to identify and track Repairs and Maintenance (RM), Health & Safety (H&S), or Excess Deferred Maintenance (EDM) until completion. In addition to your Business Analysis responsibilities, you will collaborate with colleagues across different lines of business to understand challenges and opportunities, translating this insight into high-quality reports. Your expertise will be utilized to optimize processes and identify new capabilities using lean and value stream mapping techniques. Strong technological skills are essential, ranging from data management to functional design. Required Skills and Capabilities: Soft Skills: - Communication: Demonstrating excellent verbal and written communication skills. - Influence: Ability to influence stakeholders and serve as a thought partner. - Ambiguity: Navigating through ambiguity to define and firm up processes and deliverables as necessary. - Self-Starter: Must be capable of working independently without constant supervision. - Time Management: Ability to manage multiple tasks with competing timeframes and resources simultaneously. - Willingness to work evening/USA shifts in India. Technical Skills: - Bachelor's degree in computer sciences or equivalent preferred. - 3 to 5 years of expertise in Alteryx, Tableau, Python, UiPath Studio, Azure, SharePoint, and other MS Office Applications (PPT, Excel, Visio, Access). - Hands-on experience in developing automation solutions using the mentioned tools or equivalent. - Advanced data analysis skills, constructing complex data queries, and collaborating effectively with team members. - Working knowledge of project management, value stream mapping, lean six sigma methodologies, business analysis, design thinking, and statistical methods. - Previous experience in a global finance or banking institution is advantageous. Location: - Bengaluru,

You are a technology-led healthcare solutions provider driven by the purpose of enabling healthcare organizations to be future-ready. At Indegene, you offer accelerated global growth opportunities for bold, industrious, and nimble talent. Your unique career experience celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are looking to explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com to kickstart your career. The first few years of your career are crucial as they lay the foundation for your professional journey. Indegene promises a differentiated career experience where you will work at the intersection of healthcare and technology and be mentored by industry experts. You will have the opportunity for global fast-track career growth alongside Indegene's high-speed expansion. As a purpose-driven organization, you focus on enabling healthcare organizations to be future-ready with customer obsession as your driving force. You are bold in actions, nimble in decision-making, and industrious in your work approach. About Indegene - https://www.indegene.com/ Experienced Senior Design Quality Engineer is sought with a focus on ensuring product quality throughout the lifecycle. This includes leading Quality Plan development, validating critical design inputs, ensuring compliance during design reviews, verification, validation, and transfer. The ideal candidate should excel in risk management, design for reliability (FMEA, V&V, RCA), and post-market analysis to drive continuous improvement. Collaboration across functions to deliver high-quality, customer-focused, and regulatory-compliant products is essential. Roles and responsibilities: - Develop appropriate quality plans covering all product lifecycle stages - Provide oversight of Quality Plan execution, Risk Management activities, and design-related tasks - Validate key design inputs such as usability, reliability, performance, and more - Assess product quality performance and conduct post-market analysis - Ensure compliance during design reviews, verification, validation, and transfer - Apply design for quality and reliability best practices Skills: - Knowledge of global medical device or consumer product regulations and standards - Experience in Software or Hardware development, Verification and Validation, Risk management, RCA, and more - Familiarity with Sample Size Determination, Statistical Methods, Safety Risk Management, and Failure Modes and Effects Analysis - Understanding of quality system development, documentation, and implementation - Ability to develop and implement quality programs, including problem-solving Qualifications: - Bachelor's degree in Engineering - Minimum 3 years of experience in medical device-related Quality & Regulatory domain with knowledge of design control principles EQUAL OPPORTUNITY Apply now if you are excited about this opportunity to contribute to the future of healthcare technology!,

The job objective for the Data Analyst GFM role is to support the Treasury & Markets (T&M) data analytics capability. You will be responsible for sourcing, compiling, designing, and analyzing T&M's structured and unstructured data into a data model framework. This will involve facilitating the targeting of potential business opportunities, identifying process inefficiencies, and understanding overall business trends. You will work within the Data Analytics team (across geographies) to partner and represent across T&M teams to assess business needs and identify opportunities to apply data analytics. Your role will also include assisting in defining the analytical strategy, including analytical approaches, data, and technology requirements. Prioritizing the book of work in accordance with the revenue impact and achieving the yearly data revenue targets set for the market will be crucial. Additionally, you will be responsible for streamlining data deliverables in coordination with multiple business stakeholders across the bank and in alignment with the VUCA business environment. Your tasks will involve data back-end tasks such as data extraction, transformation, and loading, as well as using various techniques for data cleansing. You will utilize appropriate machine-learning/deep learning/statistical methods to develop advanced data analytics models to uncover irregular and hidden patterns and predict business leads, risk events under comprehensive scenarios. Furthermore, you will be expected to create effective data visualization via BI tools (i.e., Tableau, MS Power BI, Qlik suite) of results to present key findings to senior management and/or other stakeholders with actionable insights. Requirements: - General understanding of Financial Markets, with emphasis on Equity, FX, Credit, and Interest Rate cash and derivative products - Expert problem-solving skills, strong attention to detail, creative mindset, and interest in data analytics - Hands-on experience in Python and/or R, SQL, or other statistical program languages and/or experience in using commercial statistical analytics tools, e.g., SAS, SPSS - Extensive experience in data visualization tools, preferably Tableau - Independent self-starter with the ability to multitask and efficient project management - Effective interpersonal and organizational skills - Good command of English - Have a can-do attitude If you are seeking a role where you can contribute to the data analytics capability of Treasury & Markets while leveraging your expertise in financial markets and data analytics, we encourage you to apply. Join our dynamic environment that offers a competitive salary and benefits package, along with professional growth opportunities that recognize your achievements.,

About Us At Bank of America, you will be part of a company guided by a common purpose to help improve financial lives through the power of connections. Responsible Growth is the foundation of our operations, ensuring we deliver for our clients, teammates, communities, and shareholders consistently. Being a great place to work for our global teammates is crucial for driving Responsible Growth. We are committed to fostering a diverse and inclusive workplace, hiring individuals with varied backgrounds and investing in their well-being through competitive benefits that support their physical, emotional, and financial health. Flexibility and collaboration are key values at Bank of America. We provide a multi-faceted approach to flexibility based on the diverse roles within our organization. Working at Bank of America offers you a rewarding career with ample opportunities for learning, growth, and impact alongside the ability to make a meaningful difference. Join us! Global Business Services Global Business Services provides Technology and Operations capabilities to Bank of America's Lines of Business and Staff Support Functions through a globally integrated delivery model and resilient operations. Recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation, Global Business Services operates across five locations in India under BA Continuum India Private Limited (BACI), the non-banking subsidiary of Bank of America Corporation that oversees India operations. Process Overview The Analytics, Risk and Quant (ARQ) group supports global Bank businesses with analytical, quantitative, and risk management solutions. Operating from Mumbai, Gurugram, Hyderabad, Chennai, and GIFT, the Quants team within ARQ focuses on model development, governance, quantitative analysis, and designing platforms for various verticals of Bank of America. Job Description We are seeking a seasoned leader to manage the Global Financial Crime Modeling and Analytics (GFCMA) team within Global Risk Analytics (GRA). This role involves overseeing multiple sub-groups collaborating on model development and governance, including GFCMA, Global Markets risk, alternate modeling, data science models, economic data research, and model engineering. The ideal candidate should have hands-on experience in quantitative fields and managing highly qualified teams. Responsibilities The selected candidate will have the following responsibilities: - Conducting in-depth analysis of the Banks" risk model results using quantitative tools like back testing, benchmarking, and sensitivity analysis - Articulating the overall picture of model performance, including accuracy and areas needing remediation - Communicating model results to stakeholders such as risk management, model development, senior management, and regulators - Supporting model development by ensuring remediation of issues before implementation Requirements Education: - Bachelors/Masters or PhD in a quantitative field from top-tier institutes like IITs, NITs, Indian Statistical Institutes, etc. Certifications: FRM, CFA, CQF, etc. Experience Range: 12+ years Foundational skills: - Strong Quantitative and Leadership skills - Minimum of 5 years leading quantitative analysis or risk management teams - Advanced knowledge of statistical and machine learning methods, Python, SAS, SQL, and wholesale modeling - Experience in talent management, regulator interactions, and risk management - Excellent communication skills and attention to detail - Strong analytical and problem-solving skills - Inquisitive nature and ability to escalate issues Desired skills: - Proficiency in speaking, presentation, and influencing skills - Ability to produce high-quality technical documentation Work Timings 12.30pm to 9.30pm Job Location Chennai, Mumbai, Gurugram, Hyderabad,

As a Statistical Monitor at Novo Nordisk Global Business Services (GBS) India, you will play a crucial role in supporting Risk-Based Monitoring within Clinical Drug Development by operating and maintaining the centralized Statistical Monitoring function. Your responsibilities will include analyzing clinical data across trials and projects to detect unusual data patterns, systematic errors, and potential instances of non-compliance or fraud that may not be identified through routine monitoring processes. By safeguarding data integrity, you will contribute significantly to the approval of new drugs. You will work closely with trial and project teams, as well as data management and programming experts, to plan and execute statistical monitoring activities according to project timelines. Your role will involve communicating monitoring observations to relevant stakeholders, supporting the interpretation of data issues, and contributing to data correction and quality improvement efforts. Additionally, you will be responsible for the development, maintenance, and enhancement of statistical monitoring tools and methodologies, including exploring and implementing new techniques. To qualify for this position, you should hold a university degree in life science or engineering (e.g., B.Sc., MSc, MD) or equivalent. You are required to have at least 2 years of experience in the pharmaceutical industry, preferably with 1 year of experience in exploration and/or visualization of clinical trial data and scientific data. An understanding of clinical development, data flow, clinical research, GCP, basic statistical methods, and experience with SAS/JMP programming is essential. Moreover, familiarity with computer systems, IT, GxP guidelines within drug development, and reporting/publishing clinical/scientific data would be advantageous. Novo Nordisk is a leading global healthcare company with a rich legacy of driving change to combat serious chronic diseases. By joining us, you will become part of a collaborative team dedicated to impacting millions of patient lives daily. Our success is rooted in the diverse skills and perspectives of our employees, and we continuously strive to bring out the best in them. Together, we work towards something bigger than ourselves, making a collective effort to drive real, lasting change in health. If you are motivated by challenges, thrive in a dynamic environment, and have a can-do attitude with continuous improvement as one of your career objectives, then this position may be the right fit for you. Join our growing team at Novo Nordisk and contribute to our mission of being life-changing. Apply now and be a part of our journey to go further together.,

As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. In addition to model development, you will implement and optimize models for real-time content generation and interactive AI applications. Collaboration with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure) will be a key aspect of your role. Staying updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems will be essential to enhance the quality of AI-generated content. Your responsibilities will include designing and conducting experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. Participation in code reviews, enhancing model efficiency, and documenting research findings for team knowledge-sharing will also be part of your duties. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with at least 3 years of experience working with deep generative models. Proficiency in Python and deep learning frameworks like PyTorch is required. Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync is essential. A strong understanding of machine learning principles, statistical methods, and problem-solving abilities are also necessary. Additionally, experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial. This position offers a dynamic opportunity to work on cutting-edge AI technologies and collaborate with a team of experts in the field. If you are passionate about pushing the boundaries of AI-generated content and staying at the forefront of AI advancements, this role is ideal for you.,

As an experienced Data Scientist with expertise in Machine Learning and NLP/GenAI, you will have the exciting opportunity to join our dynamic team and work on challenging data science projects that have a significant impact on our client outcomes. Your key responsibilities will include leading and growing client accounts with onshore stakeholders, managing the accounts delivery team focused on data science and AI, preparing responses for Request for Proposal and Request for Information, developing quick Proof of concepts for client visits and demos, implementing advanced machine learning models and GenAI based solutions in client projects, and ensuring solid understanding of NLP from transformers to the new generation LLMs. In addition, you will be required to develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing, as well as effectively communicate results and insights to both technical and non-technical stakeholders. For qualifications, you should hold a Bachelors or Masters degree in computer science, Statistics, Mathematics, Data Science, Economics or a related field. You should possess strong skills in Python, SQL, API and backend integration, code version control, in-depth knowledge of machine learning algorithms and statistical methods used in client engagements, and hands-on experience with Retriever Augmented Generations and Agentic Frameworks. Moreover, you should have hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others, code version control, docker-based model deployment knowledge, and familiarity with at least one cloud provider among Azure, GCP, or AWS. Your ability to manage multiple projects and meet tight deadlines in a fast-paced environment, willingness to adapt to new technologies, strong analytical and problem-solving skills, attention to detail, and excellent communication skills will be crucial for success in this role. With 14-20 years of experience, you are well-positioned to excel in this challenging and rewarding opportunity.,

You will be involved in building a machine learning-based anomaly detection system using structured and sequential sensor data. Your main task will be to identify unusual patterns or faults through data modeling and visualization. This internship will provide you with a real-world opportunity to work on machine learning pipelines and understand both supervised and unsupervised approaches to anomaly detection. During this phase, you will focus on offline/static modeling using historical sensor data in tabular and time-series formats. Your primary objectives will include analyzing sensor datasets representing various operational scenarios, applying and evaluating supervised classification models, transitioning into unsupervised anomaly detection approaches, visualizing insights, and documenting findings for technical and non-technical audiences. Your key responsibilities will involve performing data preprocessing tasks such as cleaning, encoding, normalization, and feature engineering. Additionally, you will be required to train and evaluate classification models using Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) models for sequence-based classification. You will also explore and implement unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, and Z-score or IQR-based statistical methods. Analyzing and visualizing model outputs using confusion matrices, anomaly heatmaps, and time-series plots will also be part of your responsibilities. Optionally, you may also be tasked with building a lightweight dashboard (e.g., using Streamlit) to present findings. TechnoExcel is the leading training and consulting company in Hyderabad offering data analytics solutions.,

The job objective for the Data Analyst GFM role is to support the Treasury & Markets (T&M) data analytics capability. You will be responsible for sourcing, compiling, designing, and analyzing T&M's structured and unstructured data into a data model framework. This will enable the identification of potential business opportunities, process inefficiencies, and overall business trends. You will collaborate with the Data Analytics team across geographies to assess business needs and identify opportunities to apply data analytics within T&M teams. In this role, you will assist in defining the analytical strategy, including approaches, data, and technology requirements. Prioritizing the workload based on revenue impact and achieving the yearly data revenue targets set for the market will be a key accountability. Additionally, you will streamline data deliverables in coordination with multiple business stakeholders across the bank to align with the VUCA business environment. Your responsibilities will include data back-end tasks such as data extraction, transformation, loading, and data cleansing using various techniques. Utilizing machine-learning, deep learning, and statistical methods, you will develop advanced data analytics models to uncover patterns and predict business leads and risk events under various scenarios. Furthermore, you will create effective data visualizations using BI tools like Tableau, MS Power BI, and Qlik suite to present key findings to senior management and stakeholders with actionable insights. The ideal candidate should have a general understanding of Financial Markets, particularly Equity, FX, Credit, and Interest Rate products. Strong problem-solving skills, attention to detail, and a creative mindset are essential for this role. Hands-on experience in Python and/or R, SQL, or other statistical program languages is required, along with familiarity with commercial statistical analytics tools like SAS and SPSS. Proficiency in data visualization tools, especially Tableau, is preferred. The ability to work independently, multitask effectively, and manage projects efficiently is crucial. Strong interpersonal and organizational skills, along with a good command of English, are necessary for success in this role. If you have a can-do attitude and meet the requirements mentioned above, we encourage you to apply for this position. Join our dynamic environment that offers a competitive salary, benefits package, and professional growth opportunities.,

We are looking for a curious and analytical Data Science Intern to join our data-driven team. This internship offers a great opportunity to work on real-world data projects, apply statistical methods, and acquire hands-on experience with data analysis and machine learning techniques. If you are passionate about data and keen to learn, we are interested in hearing from you! Your responsibilities will include assisting in collecting, cleaning, and analyzing large datasets. You will also be involved in developing predictive models, performing statistical analysis, and collaborating with team members to interpret data and derive insights. Additionally, you will support the creation of data visualizations and reports. Preferred experience for this role ranges from 0 to 5 years. This position is based in Mohali. If you are enthusiastic about data science and eager to contribute to meaningful projects, we encourage you to apply for this internship.,

As a Manager or Senior Manager in the Strategic Forecasting role at Genpact, you will be responsible for developing short and long-term forecast models in the pharmaceutical industry. Your main tasks will include maintaining forecast models to reflect current data, seeking key business issues that impact product and market forecasts, and incorporating primary research results into forecast models. You will collaborate with client partners to anticipate risks and opportunities, implement new market trends and innovations, and drive automation of existing systems to enhance forecasting accuracy and efficiency. In this position, you will work closely with the Forecasting Center of Excellence to ensure objectivity of brand/therapeutic area forecasts, develop brand volume forecasts, conduct sensitivity analysis for risk management, and provide strategic insights on portfolio and brand strategy. You will also be responsible for reviewing sales performance, collaborating with internal and external partners to acquire relevant data, and presenting forecast approaches and methodologies at the executive level. Additionally, you will lead initiatives for new forecast approaches and methodologies, focus on analytics to drive improvement opportunities, and stay updated on leading analytic capabilities in the pharmaceutical industry. To qualify for this role, you should have a Master's degree in Pharmacy, Business Administration, Statistics, Data Science, Applied Mathematics, or a related quantitative field. You should also have 4-6 years of experience in pharma forecasting, analytical experience in the healthcare and life sciences industry, and expertise in forecasting techniques and models. Proficiency in tools and techniques such as SQL, Tableau, Alteryx, and machine learning/statistical learning concepts is required. Experience with large datasets, patient modeling approaches, and analytical tools like Python/R is preferred. Strong communication skills, proactive mindset, and the ability to work independently and deliver results in demanding situations are essential for success in this role. If you are a proactive planner with a passion for seeking new challenges and driving continuous innovation in forecasting, we encourage you to apply for the Senior Manager position at Genpact in Pune, India. This is a full-time role that requires a Master's degree or equivalent education level. The job posting date is Oct 7, 2024, and applications are ongoing.,

As a Machine Learning Expertise, you will be responsible for developing and implementing machine learning algorithms for tasks such as pattern recognition, classification, and prediction. Your role will involve designing and building robust neural network architectures for various applications. Utilizing statistical methodologies to analyze data, optimize model performance, and ensure model interpretability will be a key aspect of your responsibilities. It will also be essential to stay up-to-date on the latest advancements in machine learning research and explore new techniques to enhance our AI capabilities. In the domain of Software Development & Tools, you should demonstrate proficiency in the Python programming language and be familiar with machine learning libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with SQL for data access and manipulation to support model development is required. Additionally, utilizing cloud platforms and tools for efficient model training, deployment, and management would be considered advantageous. Your role will also involve Data Analysis & Modeling, where you will collaborate with data scientists and engineers to understand business needs and translate them into technical requirements for AI models. Tasks such as cleaning, pre-processing, and preparing data for machine learning will be part of your routine. Evaluating and interpreting the performance of machine learning models, along with making adjustments for continuous improvement, will be crucial. In terms of Technical Skills & Background, having a strong foundation in computer science principles and algorithms is essential. You should have proven experience in applying statistical methods for data analysis and model optimization. To be considered for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A minimum of 5 years of experience in machine learning engineering or a relevant field is required. Expertise in pattern recognition and neural network architectures, proficiency in Python, SQL, and machine learning tools, as well as strong analytical and problem-solving skills are prerequisites. Excellent communication and collaboration skills are highly valued, and experience in the AI/ML industry is a plus, though not mandatory.,