JobTitle: Senior Data Scientist (Predictive & Generative AI)

JobSummary:

Weare looking for a Senior Data Scientist with extensiveexperience in Predictive Analytics and Generative AI.The ideal candidate will have around 10+ years of experienceand a strong foundation in machine learning, statistical modeling, and deeplearning. In this role, you will design and implement AI models that drivedata-driven decision-making and innovative solutions across variousapplications.

KeyResponsibilities:

• Model Development: Design, develop, and deploy advanced predictive models using machine learning techniques to forecast trends, behaviors, and outcomes.
• Generative AI Solutions: Lead the design and implementation of generative AI models (e.g., GANs, VAEs) to create synthetic data, text, images, or other content based on project requirements.
• AI Research & Innovation: Stay up to date with the latest developments in AI and machine learning, including state-of-the-art generative and predictive modeling techniques, to continuously innovate and improve existing systems.
• End-to-End Projects: Work on end-to-end AI/ML projects from data collection, processing, feature engineering, model training, and evaluation to production deployment.
• Model Evaluation: Ensure model accuracy and robustness by performing rigorous testing and fine-tuning using advanced validation techniques and continuous monitoring.
• Mentorship: Provide guidance and mentorship to junior data scientists and data engineers within the team.

 

 

RequiredQualifications:

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 10+ years of experience in data science, machine learning, and AI.
• Strong expertise in predictive modeling techniques such as regression analysis, time series forecasting, classification, and clustering.
• Hands-on experience with Generative AI models (GANs, VAEs, etc.) and experience in generating synthetic data, images, or text.
• Proficiency in programming languages like Python, R, and frameworks such as TensorFlow, PyTorch
• Experience with deep learning architectures like CNNs, RNNs, Transformers, and attention-based models.
• Experience with cloud platforms (e.g., Azure or AWS or Google Cloud) for scaling AI models and deploying solutions.
• Strong knowledge of data preprocessing and feature engineering techniques.
• Experience with NLP, computer vision, or similar domains is a plus.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

PreferredQualifications:

• Prior experience with LLMs (Large Language Models) or similar cutting-edge AI technologies.

SoftSkills:

• Strong problem-solving abilities with a strategic mindset.
• Excellent collaboration skills and the ability to work cross-functionally with various teams.
• Strong attention to detail and a commitment to delivering high-quality solutions.
• A passion for continuous learning and staying ahead in AI and machine learning advancements.

 

 Interested candidate share their resume at vandana@anther.co.in

Automation Engineer

About the Role

A Technical Lead in Engineering Automation plays a crucial role in managing a team of engineers and specialists focused on developing, implementing, and maintaining automated solutions for various engineering processes.

Seek a highly skilled Technical Lead with a proven track record in engineering automation to oversee our team in developing and implementing automated solutions for our engineering processes. The successful candidate will have deep technical expertise, strong leadership abilities, and a passion for driving innovation through automation.

 

Key Responsibilities:

Technical Leadership:

·        Provide technical direction and guidance to a team of engineers and specialists.

·        Oversee the design, development, and implementation of automation solutions.

Strategy and Planning:

·        Collaborate with stakeholders to define automation goals and objectives.

·        Develop and execute a comprehensive automation strategy aligned with the company's business objectives.

Solution Architecture:

·        Lead the design and architecture of automated systems, ensuring scalability, reliability, and maintainability.

·        Evaluate and select appropriate technologies and tools for automation projects.

Development and Implementation:

·        Hands-on involvement in coding, scripting, and configuring automation solutions.

·        Ensure timely and successful delivery of automation projects.

Process Optimization:

·        Identify areas for process improvement and efficiency gains through automation.

·        Streamline existing engineering workflows and procedures.

Team Development:

·        Mentor and coach team members, fostering a culture of continuous learning and development.

·        Conduct performance evaluations and provide constructive feedback.

Collaboration and Communication:

·        Collaborate cross-functionally with engineering teams, product managers, and other stakeholders.

·        Provide regular updates on project status, challenges, and achievements.

Documentation and Knowledge Sharing:

·        Maintain thorough documentation of automation solutions, including design, implementation, and troubleshooting steps.

·        Promote knowledge sharing within the team and the broader organization.

 

Qualifications:

·        Bachelor's degree in Engineering, computer science, or a related field (Master's degree preferred) with 5+ years of experience in engineering automation or related roles.

 

Hands-on experience with the following

 

·        Forge API

·        Autodesk AutoCAD API

·        Autodesk Revit API

·        Autodesk Navisworks API

·        Autodesk Inventor API

·        Autodesk AutoCAD Civil3D API

·        Tekla API

·        Microstation API

·        Strong understanding of .Net, C#, SQL

·        Proven experience in leading technical teams and managing projects.

·        Excellent problem-solving and analytical skills.

·        Effective communication and interpersonal abilities.

Kindly share your updated resume if interested on ayushi@anther.co.in

Template Instructions:  

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·    Examples are provided as a guidelineto the type of sample information presented in each section and the text is italicized.

·    Boilerplate standard languagefor each section is written in the document font and may be used or modified,as necessary.    

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·    Informational text isitalicizedwithin square brackets [ ] for informational purposes to the person who has tocreate the plan and includes background information, explanation, rationale,etc.

We are hiring a Planning Manager for a Travel Accessory Brand

Position: Planning Manager
Experience: 5+ Years
??SakiVihar, Mumbai

Key Responsibilities
1. Demand Planning
2. Supply Planning
3. Inventory Management
4. Sales and Operations Planning (S&OP)
5. Analytics and Insights
6.Tracking Forecast vs. Actuals

Desired Candidate Profile:
-MBA in Supply Chain Management or Operations Management, bachelor’s degree in production engineering or equivalent.
-Minimum of 5 years of experience in demand planning, supply planning, and inventory management, preferably within the luggage, consumer goods, or retail industry.
-Proven experience leading the S&OP process and working with cross-functional teams.
-Excellent communication and interpersonal skills.
·-Ability to work in a fast-paced startup environment and manage multiple priorities.
-Demonstrated ability to drive continuous improvement and process optimization.

Interested candidates share your updated resume on ayushi@anther.co.in

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Job Description: The HR BI Senior Manager will play a crucial role within the Global HR Excellence & Analytics team, overseeing day-to-day deliverables while spearheading innovation in HR Reporting. This pivotal position integrates a solid foundation in HR analytics with advanced technical expertise in Python, data modelling, AI, and predictive analytics. The ideal candidate will lead the charge in innovating HR processes, harnessing state-of-the-art technologies to optimize decision-making and improve operational efficiency. The mission of the HR Excellence & Analytics team is to provide pertinent and accurate workforce insights, enabling data-driven decisions to address business challenges, enhance outcomes for individuals and stakeholders, and elevate the overall quality of decisions. The team includes analysts responsible for maintaining data collection processes, generating reports in HR systems, extracting, and processing data, developing, and maintaining dashboards in BI tools, and conducting analyses to derive valuable insights. The Senior Manager will closely collaborate with the IT Business Intelligence team, serving as a vital link between stakeholders (HR Business Partners, HR Directors, Business Leaders, External Vendors, 3rd Parties) and analysts. This involves detailing stakeholder requirements and ensuring their timely delivery. Additional responsibilities encompass identifying and correlating relevant data points to address stakeholder questions or conduct ad hoc analyses. The Senior Manager will also be involved in quality control, establishing protocols for periodic KPI production, reviewing and allocating service tickets to relevant teams, and addressing data integrity issues. Key Responsibilities: Team Management: • Manage the workload of the HR Excellence & Analytics team, assigning projects and tasks effectively. • Provide guidance and mentorship to foster a culture of continuous learning and development. Stakeholder Engagement: • Understand external and internal business contexts, supporting stakeholders in formulating workforce information, KPIs, reports, dashboards, and ad hoc analyses. • Define project scopes, formulate detailed requirements for analysts, and ensure the timely delivery of requests. Quality Control and Automation: • Apply logic to raw data sets, validate automated calculations, and establish QC protocols for periodic KPI production. • Identify opportunities to automate existing insights production and reporting tasks within HR teams. Collaboration and Training: • Collaborate with the IT Business Intelligence team, acting as an interlock between stakeholders and analysts. • Build strong working relationships with HR teams, Business Leaders, and key stakeholders. • Develop training material for the HR community on using HR Analytics tools. Data and Analytics Inputs: • Provide data and analytics inputs for monitoring HR service delivery efficiency. • Focus on data quality, assurance activities, data audit requirements, and data governance. Special Projects and Troubleshooting: • Support special projects with HR data and analytics expertise. • Troubleshoot data and reports as needed. Technical Leadership in HR Analytics: • Utilize advanced technical skills, including proficiency in Python, to lead the development and implementation of HR analytics strategies. • Drive the exploration and application of AI and predictive analytics to enhance talent acquisition, workforce planning, and employee engagement. Data Modelling and Analysis: • Design and implement robust data models to extract meaningful insights from HR data sets. • Conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvements. Automation Solutions: • Lead the identification and implementation of automation solutions within HR processes. • Collaborate with IT and data engineering teams to integrate automation tools seamlessly into existing HR systems. Innovative HR Technology: • Stay at the forefront of HR technology trends, proposing and implementing innovative solutions. • Evaluate and recommend new tools and technologies to enhance HR analytics capabilities. Collaboration and Cross-functional Engagement: • Collaborate closely with HR business partners, IT, and other relevant departments to align technical initiatives with broader organizational goals. • Lead cross-functional teams in the development and execution of complex HR analytics and automation projects. Training and Development: • Conduct training sessions to enhance the technical capabilities of HR staff. Qualifications and Skills: • Bachelor’s degree in human resources or equivalent in , Data Science, Computer Science, or related field; Master’s degree preferred. • Proven 11 to 14 years of experience in HR analytics with expertise in Python, data modeling, AI, and predictive analytics. • Demonstrated track record in implementing automation solutions within HR processes. • Proficient in data visualization tools (e.g., Tableau, Power BI) and HR systems. • Excellent analytical and problem-solving skills with meticulous attention to detail. • Strong communication and interpersonal skills; ability to convey technical concepts to non-technical stakeholders. • Hands-on experience in Reporting & Data Analytics. • Knowledge of Workday HCM Systems and its Reporting Capabilities. • Proficiency in Power BI. • Advanced Excel and PowerPoint skills. • Broad knowledge of HR Concepts & Terminology. • Project and resource management skills. • HR operations or HR shared service team management experience considered an asset. • Exposure to other data visualization tools considered an asset. • Exposure to advanced analytics techniques and statistical tools considered an asset. • Knowledge of current and forward-looking trends in HR Data and Analytics. • Proven ability to drive innovation and improvement in data and analytics. • Ability to motivate others, boost morale, and build commitment within the team. • Proven experience leading and driving business change. • Proven experience managing projects and using data effectively within a PM role. • Confidentiality and ability to handle sensitive situations within data protection legislation. • Proactive and collaborative approach to working with HR colleagues, suppliers, and their teams to ensure timely and professional delivery. • Proven experience advising and supporting internal and external stakeholders. • Outstanding customer focus; ability to manage customer requirements through a partnership approach. • Ability to identify individual needs and balance these with business needs appropriately, setting clear expectations. • Ability to multitask, prioritize work, and manage time based on business needs. • Excellent written and oral communication skills, including strong presentation skills.

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