Principal Engineer - Data Science

Job Description:

• Experience in Core Java 5.0 and above, CXF, Spring.
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database.
• Good knowledge of multi-threading and high-volume server-side development.
• Experience in sales and trading platforms in investment banking/capital markets.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills in Java.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.
• 
  

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job title: Video Editor intern

About Us:

Barcadly Services is a full fledge "Digital Marketing Agency" Our head office is in Mumbai & Kolhapur, the company was established in the year 2018.

We strongly supports and follows the mission of Digital India laid down by Prime Minister Shri. Narendra Modi and provides cost-effective branding solutions for start-ups & big companies in India. At Barcadly services, you will get an insight regarding what is it like to work with a pioneering Digital Marketing Agency in India.

After all, you will only seldom find someone as efficient as we are, when it comes to offering personalized performance marketing.

Thanks to our tight-knit team we have been able to assist over 170 + businesses and establishing themselves in the digital arena."

Position Overview:

We are seeking a creative and enthusiastic Video Editor Intern to join our team. This internship provides an exciting opportunity for individuals interested in gaining hands-on experience in video editing and production. The ideal candidate will have a passion for storytelling through video, strong technical skills, and a desire to learn and grow in a dynamic environment.

Responsibilities:

•   Assist in editing raw footage into engaging and polished videos.

•   Collaborate with the creative team to develop video concepts and storyboards.

• Incorporate visual effects, transitions, and other elements to enhance the overall quality of videos.

• Trim and rearrange footage to improve pacing and narrative flow.

•   Add music, sound effects, and voiceovers to enhance the storytelling process.

•   Color correct and adjust video footage to maintain visual consistency.

•    Assist with the organization and management of video assets and project files.

•   Stay up-to-date with industry trends and best practices in video editing software and techniques.

•   Support the production team during video shoots and other related tasks as needed.

Requirements:

•   Currently enrolled in or recently graduated from a film production, digital media, communications, or related program.

•     Proficiency in video editing software such as Adobe Premiere Pro, Final Cut Pro, or DaVinci Resolve.

•   Strong understanding of video editing techniques, including pacing, timing, and storytelling.

•   Creative mindset with a keen eye for detail.

•   Excellent communication and collaboration skills.

•    Ability to work in a fast-paced environment and meet tight deadlines.

•   A portfolio showcasing video editing projects (academic or personal projects are acceptable).

Preferred Qualifications:

•  Basic knowledge of motion graphics and animation software (e.g., Adobe After Effects).

• Experience with color grading and correction techniques.

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

1. Good communication skills (spoken and written).

2. Persuasion and people skills to engage clients and customers.

3. Data mining experience using LinkedIn, Google, etc.

4. IT solution/IT sales/mobility/pre-sales/outbound(software sales)/business development/key account management exposure/analytics sales experience.

Ideal candidate must have :

- 2+ years of experience in writing code

- Ability to meet tight deadlines

- Can work independently and be a team contributor

- Must have good knowledge of Node, Python and Scripting languages

- Experience in one or more of RDBMS - PostgreSQL, MySQL or Oracle

- Experience with NoSQL and real-time DB - Firebase/Firestore or MongoDB

- Must be able to write concise and high-quality API

- Must be a quick learner, curious and ambitious