Senior Machine Learning Engineer

Position Overview: We are looking for an experienced and highly skilled Senior Data Engineer to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a customer-centric Data Engineer, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

• Customer Collaboration:

– Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

– Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.

•Data Modeling & Integration:

– Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.

– Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.

– Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems

• Data Processing & Optimization:

– Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.

– Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.

• Data Governance & Security:

–Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).

–Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.

• Cross-Functional Collaboration:

– Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

– Foster collaboration across teams to streamline data workflows and optimize solution delivery.

• Leveraging Advanced Technologies:

– Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide

smart, data-driven solutions to business challenges.

– Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.

• Cost Optimization:

–Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.

–Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.

Qualifications:

• Experience:

– Proven experience (5+ years) as a Data Engineer or similar role, designing and implementing data solutions at scale.

– Strong expertise in data modelling, data integration (ETL), and data transformation processes.

– Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

• Technical Skills:

– Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache

NiFi, Talend).

– Strong understanding of data security protocols, privacy regulations, and compliance requirements.

– Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).

• AI & Machine Learning Exposure:

– Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.

–Ability to apply advanced algorithms and automation techniques to improve business processes.

• Soft Skills:

– Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.

– Strong problem-solving ability with a customer-centric approach to solution design.

– Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.

• Education:

– Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

Job Title: Chief Manager - Product & Buying (Apparel Retail Brand)

Location: Gurgaon, India

Experience Required: 10-15 years in Apparel retail brand

Industry: Textile / Apparel / Garment Accessories/ Retail

Department: Sales & Business Development

·        Develop and implement detailed seasonal product plans, aligned with business goals.

·        Present range and sign off Business Unit (BU) plans in coordination with the Buying and Merchandising Head.

·        Book product quantities to support launches and adapt to in-season sales trends.

·        Analyze sales data to support informed buying decisions.

·        Work closely with suppliers to revise production flows based on sales performance and maximize sell-through.

·        Set and review targets for sales, margins, stock levels, commitments, and availability.

·        Contribute to the operating plan review and capture key learnings for future planning.

·        Manage catalogue intentions and the In-Range Presentation (IRP).

·        Lead planning and execution for all markdown and promotional periods.

·        Monitor supplier performance and ensure timely agreement and alignment on range production plans.

·        Coordinate with suppliers for flow inputs to maintain alignment between production and commitments.

·        Manage production plans to optimize Merchandise Stock Index capacity.

·        Collaborate with the Retail team by providing inputs for store layout planning.

·        Contribute to pricing strategies for new ranges.

·        Maintain competitive awareness and monitor product offerings in the market.

·        Plan, optimize, and review the product catalogue in alignment with store formats and chain performance.

·        Lead implementation of new systems and processes for improved efficiency.

Key Requirements:

·        Create and execute the departments Operating Plan.

·        Select relevant products from the M&S global catalogue to capture trends, drive volume, and meet customer demand.

·        Lead local product development to address market gaps, regional requirements, and margin improvement opportunities.

·        Plan and manage flow and phasing of stock to ensure timely product availability.

·        Ensure buying is aligned with approved plans and meets critical path timelines.

·        Drive in-season development of short lead-time products to improve responsiveness.

·        Develop and scale value fashion lines for Tier 2 markets.

·        Collaborate with Visual Merchandising and Marketing to deliver compelling in-store looks and storytelling.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish; 88 O2 74 97 43

Website: www.glansolutions.com

Google search: Glan management consultancy

As a Tele Counsellor at Frankfinn Aviation Services, you will be integral to our lead generation efforts. Your role involves making outgoing calls to prospective students, providing detailed information about our courses, and encouraging them to attend free career counselling sessions at our institutes.

You will also be responsible for conducting timely follow-ups to ensure that interested candidates visit our centers. Candidates should have prior outbound tele-calling experience and be adept at engaging potential students. Fluency in Kannada, and English is essential for effective communication.

• Compensation: Competitive salary ranging from 18K to 22K in-hand, with potential for salary hikes based on current pay.

Role: Data Analyst (Apprentice - 1 Year contract)

Location: Bangalore, Hybrid Model

Job Summary: Join our team as an Apprentice for one year and take the next step in your career while supporting FOX’s unique corporate services and Business Intelligence (BI) platforms. This role offers a fantastic opportunity to leverage your communication skills, technical expertise, analytical and problem-solving competencies, and customer-focused experience.

Key Responsibilities:

·     Assist in analyzing and solving data-related challenges.

·     Support the development and maintenance of corporate service and BI platforms.

·     Collaborate with cross-functional teams to enhance user experience and operational efficiency.

·     Participate in training sessions to further develop technical and analytical skills.

·     Conduct research and analysis to identify trends and insights in data.

·     Prepare reports and presentations to communicate findings to stakeholders.

·     Engage with employees to understand their needs and provide support.

·     Contribute insights and suggestions during team meetings to drive continuous improvement.

Qualifications:

·     Bachelor’s degree in Engineering (2024 pass-out).

·     Strong analytical and technical skills with attention to detail.

·     Excellent communication skills, both verbal and written.

·     Ability to work collaboratively in a team-oriented environment.

·     Proactive attitude and a strong willingness to learn.

·     Familiarity with data analysis tools and software (e.g., Excel, SQL, Tableau) is a plus.

·     Basic understanding of programming languages (e.g., Python, R) is an advantage.

Additional Information:

• This position offers a hybrid work model, allowing flexibility between remote and in-office work.
• Opportunities for professional development and skill enhancement through buddy and mentorship.
• Exposure to real-world projects and the chance to contribute to impactful solutions.
• A supportive and inclusive team environment that values diverse perspectives.

We are looking for a Ruby on Rails developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

• Design, build and maintain efficient, reusable, and reliable Ruby code
• Integration of data storage solutions 
• Integration of user-facing elements developed by front-end developers with server-side logic
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and automatization
•  

Skills

• Experience with Ruby on Rails, along with other common libraries such as RSpec and Resque
• Good understanding of the syntax of Ruby and its nuances
• Solid understanding of object-oriented programming
• Good understanding of server-side templating languages 
• Good understanding of server-side CSS preprocessors 
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Familiarity with concepts of MVC, Mocking, ORM, and RESTful
• A knack for writing clean, readable Ruby code
• Ability to integrate multiple data sources and databases into one system
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Able to implement automated testing platforms and unit tests
• Proficient understanding of code versioning tools 
• Familiarity with development aiding tool familiarity with continuous integration