Head Of Engineering

Bachelor’s degree in Marketing, Mass Communication, Digital Media, or related field.

3–5 years of experience in social media management, preferably with ecommerce/D2C brands.

Strong knowledge of social media platforms, trends, and tools (Meta Business Suite, Hootsuite, Canva, etc.).

Proven track record of growing social channels and executing campaigns.

Excellent verbal and written communication skills.

Creative thinker with an eye for detail and design aesthetics.

Basic understanding of performance marketing & analytics.

Job Overview:

We are seeking a motivated and enthusiastic Junior AI/ML Engineer to join our dynamic team. The ideal candidate will have a foundational knowledge in machine learning, deep learning, and related technologies, with hands-on experience in developing ML models from scratch. You will work closely with senior engineers and data scientists to design, implement, and optimize AI solutions that drive innovation and improve our products and services.

Key Responsibilities:

• Develop and implement machine learning and deep learning models from scratch for various applications.
• Collaborate with cross-functional teams to understand requirements and provide AI-driven solutions.
• Utilize deep learning frameworks such as TensorFlow, PyTorch, Keras, and JAX for model development and experimentation.
• Employ data manipulation and analysis tools such as pandas, scikit-learn, and statsmodels to preprocess and analyze data.
• Apply visualization tools like matplotlib and spacy to present data insights and model performance.
• Demonstrate a general understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.
• Leverage knowledge of statistical and algorithmic models along with fundamental mathematical concepts, including linear algebra and probability.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Solid foundation in machine learning, deep learning, computer vision, and natural language processing (NLP).
• Proven experience in developing ML/deep learning models from scratch.
• Proficiency in Python and relevant libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, or JAX.
• Experience with data manipulation and analysis libraries like pandas, scikit-learn, and visualization tools like matplotlib.
• Strong understanding of data structures, algorithms, and multi-threaded programming.
• Knowledge of statistical models and fundamental mathematical concepts, including linear algebra and probability.

Skills and Competencies:

• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.
• Eagerness to learn and stay updated with the latest advancements in AI/ML technologies.

Preferred Qualifications:

• Previous internship or project experience in AI/ML.
• Familiarity with cloud-based AI/ML services and tools.

Nirwana.AI is an equal opportunity employer and welcomes applicants from all backgrounds to apply.

Job description

Overview

The infrastructure for regulation-compliant AI. Train and deploy generative AI for the large enterprise.It is the most private solution for enterprise AI. Achieve best-in-class and compliant AI at the fraction of the time and cost. It is an enterprise AI platform that provides state-of-the-art and regulatory-compliant AI for a fraction of the cost. It simplifies model training across privacy-critical datasets using Federated Learning and Differential Privacy.

Ø Roles & Responsibilities:-

Proven experience as a DevOps Engineer or similar role, with a strong focus on AWS, Docker, and orchestration.

- In-depth knowledge of AWS services and infrastructure, including EC2, VPC, RDS, S3, IAM, and CloudWatch.

- Expertise in containerization technologies like Docker and container orchestration platforms such as AWS ECS or Kubernetes.

- Experience with infrastructure-as-code (IaC) tools like AWS CloudFormation or Terraform or AWS CDK.

- Strong scripting skills (e.g., Bash, Python) and proficiency in automating infrastructure provisioning and deployment processes.

- Familiarity with monitoring and logging tools such as AWS CloudWatch, ELK stack, or Prometheus.

- Knowledge of CI/CD practices and tools like Jenkins, Github Actions CI/CD, or AWS CodePipeline.

- Solid understanding of networking concepts, security best practices, and troubleshooting methodologies in a cloud environment.

- Ability to setup our on-prem software in a customer's cloud environment

Location-remote/bangalore

P.S-Only IIT madras, IIT Bombay, IIIT Hyderabad, atlassian,google,slack,zoom,e-commerce,internet & product based startup companies

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

Job profile: Product Manager

The ideal candidate is an analytical team player who will be responsible for leading a team of high performing individuals who own the entire product lifecycle from strategy to evaluation. You will also work cross-functionally to complete product roadmaps and discover new opportunities. 

Responsibilities:

• Create business models and analyse competitive landscape.
• Develop and monitor data-driven analytics.
• Mentor employees to help them achieve individual & team objectives.
• Work with the lead product manager, key stakeholders and a cross-functional team to assist with new product releases, including product launch deliverables.
• Work with sales and partners to strengthen offerings.
• Define the product requirements and manage aspects of the offering roadmap.
• Develop and coordinate enablement assets for sales and partners.
• Work with industry analysts, partners, and customers to gather and validate market requirements, understand pain points, address RFEs, and evangelizing the product roadmap and vision.

Qualifications:

• Bachelor's degree or equivalent 3+ years of experience in Product Management, Engineering, or Consulting.
• Strong written, verbal and collaboration skills.

• Identifying and assessing customer’s needs to achieve satisfaction
• Handling customer complaints, providing appropriate solutions and alternatives within the time limits; following up to ensure resolution
• Building sustainable relationships and trust with customers through open and interactive communication
• Providing accurate, valid and complete information by using the right methods/tools
• Following communication procedures, guidelines and policies
• Taking the extra mile to engage customers

Desired Candidate Profile

• Strong customer handling skills on phone and email
• Familiar with CRM systems and practices
• Prior experience with Freshdesk and Magento would be a plus
• Customer orientation and ability to adapt/respond to different types of people
• Excellent communication skills ( both written and verbal )
• Ability to multitask, prioritize and manage time effectively
• Empathy and Compassion
• Punctuality
• Ability to stretch long hours and work for the bigger vision of the company
• Experience with Microsoft office and G-suite (google)
• Basic knowledge of Microsoft Excel for reporting purposes is a MUST
• Good hold on English Grammar
• Problem identification and solving attitude
• Ability to listen
• Customer Obsession
• High integrity
• Decisiveness

• Deeply understand what drives customer purchase decisions, what companies do today to meet those customer needs, and how 3D/AR technology can address current pain points.
• Ideate new formats for interactive 3D/AR commerce that deliver customer delight. 
• Build the engine that powers the next stage of interactive shopping experiences – current on smartphones and future on AR glasses.
• Build cutting-edge products with real-time computer vision, NLP, and other machine learning technologies.
• Ride the massive Augmented Reality wave with the introduction of AR glasses.
• Explore the trillion-dollar global potential of 3D and AR-powered commerce.

What we look for:

• Minimum of 4+ years of software product management experience, preferably in the Product based, e-Commerce, or Retail industry.
• Ability to solve complex problems using first principles thinking and translate these solutions for engineering teams to execute.
• Have solid execution capability and can inspire a team to deliver challenging projects with high-quality delivery. 
• Up to date with the latest developments in AR and AI technologies.
• Preferably with previous experience as a software engineer and moved to a product management role.
• Preferably have experience working on e-commerce product descriptions or brand pages.
• Preferably have experience building and launching deep learning AI (computer vision, NLP, etc) products.
• Someone who loves learning and can step out of your comfort zone to quickly pick up and apply new technologies and concepts.

What’s in it for you? 

• Join a highly energetic and innovative team 
• Be part of the key function of the business transformation 
• Competitive compensation and enjoy a workplace flexibility culture

Description

• Plan, coordinate, and execute projects to deliver accurate, effective, and timely information solutions that empower readers and solve business problems.
• Design, write, and edit technical content for a variety of audiences, with an emphasis on usability, effectiveness, maintainability, and reusability.
• Understand and use authoring systems, content management tools, databases, social media (wikis and other collaboration systems,microblogs, etc.), and SEO to develop systems that collect, organize, and publish findable, useful information.
• Employ authoring tools to produce professional documentation from a single source for a variety of media and devices including mobile platforms, online help, electronic publications, and PDF.
• Contribute to the development and achievement of organizational goals and objectives.
• Represent the team and the Cytel organization on project assignments and when working with clients.
• Lead efforts to assess, research, analyze, organize, design, develop, and maintain information products, processes, and systems.

Required Skills and Experience

• Demonstrated strong writing and editing skills and ability to plan and execute content delivery projects.
• Ability to collaborate with teams across all parts and levels of the organization including product development, IT, product management,compliance, services, customer support, marketing, training, and senior management.
• Flexibility to change directions and tasks when necessary to accommodate shifting priorities.
• Excellent planning, scheduling, communication, and interpersonal skills.
• Experience working with content management and single-sourcing authoring platforms.
• Familiarity and comfort with source code mgmt. and document mgmt., and with 'DevOps' concepts and systems.
• Two+ years of experience planning and producing technical documentation for online delivery.

Helpful Skills and Experience

• Experience with authoring platforms, Atlassian and Microsoft collaboration tools, and MS Word.
• Proven experience documenting complex healthcare, biostatistics, or clinical trial mgmt. concepts.
• Experience with LaTeX mark-up and related systems, and with MathML and constructing complex equations for print and online presentation.
• Experience with GxP compliance concepts and processes.
• Knowledge of 'industrial-strength' software product development tools and roles, and experience with software development
• methodologies in a large-company environment.
• Knowledge of basic principles and components of user experience (UX) design.
• Exposure to concepts and tools relating to continuous integration/continuous deployment.
• Understanding of basic coding concepts, and ability to read and edit CSS3, HTML5, and SQL. Experience with R programming is very desirable.

Education

• College degree in biostatistics, software engineering, computer science, technical communications, journalism, or related field, or equivalent experience is desirable.