Product Designer / Lead (B2B SaaS, UX), Unif

About Us : Signal Expert Global LLP is an MNC involved in the business of providing Technical Analysis Research services in the Forex & Comex Global Market Since 2016. We provide learning and trading assistance into Forex and Comex Market.

Signal Expert Global LLP is a Member of the International Trade Council and Follows Foreign Inward Remittance Certificate (FIRC) Norms as per Foreign Exchange Management Act (FEMA) Guidelines.

Designation : International Sales Specialist (Financial Sales)

Nature : On-site, Permanent - Indore [M.P.]

Package :3 LPA- 4.8 LPA

Key Responsibilities :

• Client outreaching and conversion through calls, chats and mail.
• Engage potential clients and convert them into active trading clients.
• Assist clients in identifying the ideal service combination for revenue generation.
• Establish and maintain long term client relationships.
• Educate clients on trading basics, company services, market risks, and recommend strategies based on their risk profile.
• Assist clients with account setup, KYC, and onboarding on trading platforms (MT4/MT5), ensuring smooth and timely activation.

Qualifications :

• Fluent English Communication.(verbal and written)
• Bachelor's or Master's degree. (must have )
• Sales or direct client interaction internship experience for freshers.
• Minimum 6 months experience in sales/direct client interaction profile for experienced applicants.
• Knowledge of the Domestic and Global Financial Market. (Forex & Comex)
• Should be a driven, goal-oriented and active team player with exceptional relationship management skills.
• Experience in International Sales, Marketing and Financial Services will be preferred.

About Us: At Jenya, we specialize in creating captivating content that connects with audiences on a global scale. Our team is dedicated to pushing creative boundaries and delivering exceptional results. We’re looking for a skilled Video Editor with a focus on YouTube videos and Shorts to join our vibrant team.

Position Overview: We are seeking a talented Video Editor with a strong background in editing YouTube videos and Shorts. In this role, you will be responsible for crafting engaging, high-quality video content that stands out on YouTube and other platforms. Your expertise will help us deliver visually compelling stories that resonate with viewers and drive channel growth.

Key Responsibilities:

• Edit and produce engaging YouTube videos and Shorts from raw footage.
• Develop video content that aligns with our brand’s voice and goals.
• Collaborate with content creators, producers, and other team members to ensure video content meets project specifications.
• Optimize videos for YouTube, including titles, descriptions, and metadata to maximize visibility and engagement.
• Apply effective video pacing, transitions, and effects to create a polished final product.
• Maintain organized video files and adhere to project deadlines.

Requirements:

• Proven experience as a Video Editor with a strong portfolio showcasing your work on YouTube videos and Shorts.
• Proficiency in video editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve, Canva etc).
• In-depth understanding of YouTube’s platform, including trends, algorithm, and best practices for Shorts.
• Ability to create engaging video content tailored for different audiences and platforms.
• Strong attention to detail, creativity, and problem-solving skills.
• Excellent communication skills and ability to work collaboratively in a team environment.

Preferred Qualifications:

• Bachelor’s degree in Film Production, Media, or a related field.
• Experience with motion graphics, animations, and visual effects.
• Familiarity with SEO best practices and video analytics.

What We Offer:

• Competitive salary and comprehensive benefits package.
• A collaborative and creative work environment.
• Opportunities for professional growth and development.
• Alternate Saturday off

How to Apply: If you are a dedicated Video Editor with a passion for fostering a positive workplace culture and have at least 1+ year of relevant experience, we invite you to apply for this exciting opportunity.

Join our team and contribute to our continued success as a Video Editor dedicated to the growth!

Education:

• Bachelor's (Preferred)

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Technical Skills Required

• Expert with BSPs and use of Peripheral Device Drivers, on Android and Linux Operating Systems

• Expert with device boot for speed and absolute reliability on headless devices
• Expert allocation/efficient use of operating infrastructure: memory, CPU, I/O, and serial communications
• Expert full stack application development on Android and Linux Operating systems:
• Java, Kotlin, JS, C/C++, ---- a plus to have Python
• Expert use of various build and debug tools for Android and other Operating Systems
• Skilled at architecture and implementation of custom algorithms and rules engines using onboard sensors for industrial applications: ex: fall detect, collision avoidance, man down, alerts
• Skilled with battery life optimizations
• Skilled with implementation of user interfaces for devices based on requirements 
• Skilled with Sensor Integration in Android or other OS framework (Linux, RTOS)
• Skilled with device configuration management
• Experience to integrate and tune camera and audio subsystems for VOIP and Video calling
• Able to port and integrate from/to one chipset to another
• Able to support device software across product life cycle
• Understanding of enterprise grade application requirements, networking and network security
• Experience with application/device diagnostics and self-healing configurations for enterprise grade solutions
• Experience with secure over the air software/firmware upgrades, device configuration and management from network server
• Experience with design and support for factory provisioning and test

• Working alongside client servicing team, and responsible for clear understanding of client requirements, and aligning the right fit candidate with the role, and providing best possible solutions based on availability of talent pool
• Suggesting additional upskilling based on client role requirement and ensuring the candidates are completely role ready and onboarded seamlessly
• Working on collaboration with training head and trainers to understand the skill levels of each Fellow, attending client meetings to understand client specific needs, nominating Fellows as per job role-skill alignment and also providing recommendations for upskilling needs and ensuring Fellows complete the upskilling program satisfactorily
• Continuously monitoring and improving the Fellows’ performance pre-and post-deployment, as well as analyzing client feedback, upskilling needs, retention and billability

Desired Candidate Profile

• Client facing and client management skills
• Awareness of job role skill and capability requirement for data engineer or similar technical job role, experience in performance management and employment relations
• Strong coaching and mentoring capabilities
• High data-driven and process oriented mindset
• Strong interpersonal and communication skills
• Excellent relationship building skills
• Ability to influence and persuade and manage difficult conversations
• High levels of confidentiality
• Managing a KPI driven approach    

• Designing, developing, and testing UI for mobile and web applications
• Build reusable code and libraries for future use
• Accurately translate user and business needs into functional frontend code.
• Developing new user-facing features using React and redux
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code with proper standards.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
• Work with outside data sources and APIs.
• Added Advantage: Knowledge and experience in Cloud Computing